Xin Gao

December 2025

• 

  KAUST showcases its smart health technologies at global forum

  1 min read · Mon, Dec 8 2025

  News Press Releases

  smart health AI wearable devices

  Through AI, smart sensors, and computational biology, KAUST is transforming healthcare with practical solutions that address critical health needs in Saudi Arabia and beyond.

November 2024

• 

  KAUST hosts Red Sea Research Conference on Frontier Technology

  1 min read · Thu, Nov 21 2024

  News

  The KAUST Red Sea Research Conference on Frontier Technology convened scientists and government and industry leaders to explore emerging technologies, foster collaboration and translate research into impactful solutions.

September 2024

• 

  KAUST Launches Four Pioneering Centers of Excellence to Address Key National and International Priorities

  1 min read · Sun, Sep 15 2024

  News Clip News

  KAUST has launched four pioneering Centers of Excellence to advance research and development in alignment with Saudi Arabia’s Vision 2030, focusing on the critical areas of Health and Wellness, Renewable Energy, Sustainable Food Security, and Generative AI, thereby reinforcing the University’s role as a global leader in applied science and its commitment to delivering impactful solutions that drive national economic objectives.
• 

  KAUST Center of Excellence for Smart Health

  1 min read · Thu, Sep 12 2024

  News Clip News

  The KAUST Center of Excellence for Smart Health (KCSH), founded to address the evolving health needs of Saudi Arabia’s aging population, is pioneering smart-health technologies through interdisciplinary collaboration, focusing on areas like One Health, Healthy Aging, smart diagnostics, and bioinformatics, ultimately aiming to enhance healthcare outcomes and economic health in the Kingdom.

March 2024

• 

  Former CBRC PhD Student Ibrahim Alabdulmohsin Highlighted for AI Contributions on Saudi National TV

  1 min read · Wed, Mar 27 2024

  News

  artificial intelligence Computer science

  Former CBRC PhD student Dr. Ibrahim Alabdulmohsin, now a senior research scientist at Google DeepMind in Zurich, was featured by the Josoor Program on Saudi National TV. The program, meaning "Bridges" in Arabic, highlighted Dr. Alabdulmohsin's journey from his education at the University of Nebraska, Lincoln, and Stanford University to his leadership roles at Aramco's Advanced Analytics team. After graduating from KAUST under the supervision of Prof. Xin Gao, he joined DeepMind in 2019, contributing to groundbreaking AI research. The 24-minute episode explores his career and contributions to the field. Dr. Alabdulmohsin's commitment to advancing AI underscores his pivotal role in shaping the future of technology.

February 2024

• 

  Shuffling the deck for privacy

  2 min read · Thu, Feb 15 2024

  News

  An integrated shuffler optimizes the privacy of personal genomic data used for machine learning.

November 2023

• 

  Prof. Xin Gao assumes the position of CEMSE CS Program Chair

  1 min read · Sun, Nov 26 2023

  News

  Computer science

  Prof. Xin Gao has assumed the role of CEMSE CS Program Chair, marking a significant development for our academic community.
• 

  Safeguarding the right to be forgotten

  2 min read · Sun, Nov 26 2023

  News

  healthcare privacy artificial intelligence

  An open-source software can help align artificial intelligence applications in healthcare with data privacy regulations.

October 2023

• 

  Lab-grown skin helps unlock secrets of mpox virus infection

  2 min read · Sun, Oct 22 2023

  News

  Skin organoids offer a powerful platform for drug discovery in the ongoing fight against the virus formerly known as monkeypox.

March 2023

• 

  Guidelines for Cellular Deconvolution in Spatial Transcriptomics

  1 min read · Thu, Mar 30 2023

  News

  A recent Nature paper titled "A comprehensive benchmarking with practical guidelines for cellular deconvolution of spatial transcriptomics" by Haoyang Li, Juexiao Zhou, Zhongxiao Li, Siyuan Chen, Xingyu Liao, Bin Zhang, Ruochi Zhang, Yu Wang, Shiwei Sun, and Prof. Xin Gao evaluates 18 existing cellular deconvolution methods used in spatial transcriptomics using 50 real-world and simulated datasets. To measure accuracy, robustness, and usefulness, the authors compare the approaches using various metrics, resolutions, spatial transcriptomics technologies, spot numbers, and gene numbers. The

February 2023

• 

  Alumni in focus: Abdullah AlGziwi

  1 min read · Sun, Feb 26 2023

  News

  Computer science

  Abdullah AlGziwi, a visiting student under Professor Xin Gao's supervision, was recently awarded the “Second Place Grand Award” at the Saudi National Olympiad for Scientific Creativity. He presented his research project on “A Novel exosome-encapsulated-miRNA-based machine learning model for multiple cancer prediction and prognosis”.

December 2022

• 

  KAUST Commencement 2022 looks to a bright future

  2 min read · Sun, Dec 18 2022

  News

  King Abdullah University of Science and Technology (KAUST) celebrated its 13th Commencement on a cool, breezy evening, December 16, 2022, among approximately 380 graduating students and a full audience of supportive families, university community members and distinguished guests. This year CBRC saw many student candidates complete their Postdoctoral and Masters Degrees. CBRC congratulates all students on this great achievement and wishes you even more success in the future.
• 

  Gene detectives solve disease mysteries

  2 min read · Sun, Dec 18 2022

  News

  Prof. Arold and Gao presented their research at two high-profile conferences in Riyadh in November 2022; the International Conference on Genomic Medicine and the HIMSS22 Middle East Health Conference & Exhibition. Both researchers underline the importance of such events for discussions with clinicians, healthcare providers and policymakers to help connect their research with the healthcare needs of the country.

October 2022

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  Appointment of Prof. Xin Gao as Interim Director and Prof. Robert Hoehndorf as Interim Associate Director of CBRC

  1 min read · Mon, Oct 3 2022

  News

  The Computational Bioscience Research Center (CBRC) is pleased to announce that Professor Xin Gao has assumed the position of Interim Director and Professor Robert Hoehndorf as Interim Associate Director of the CBRC. Both professors assumed their roles on September 15, 2022.

September 2022

• 

  CBRC alumnus Dr. Tanvir Alam awarded "The Early Career Researcher Award" by HBKU

  2 min read · Sun, Sep 11 2022

  News

  CBRC's Alumni Dr. Tanvir Alam recently received The Early Career Researcher Award from Hamad Bin Khalifa University (HBKU), Doha on its first annual Research Day on September 7, 2022. Research Day was an opportunity for HBKU to recognize and honor the accomplishments of faculty and scientists, early-career researchers, and students, with the presentation of research awards in different categories.

May 2022

• 

  New database to "SpUR" on cancer research

  1 min read · Sun, May 29 2022

  News

  human health cancer Computer science

  Xin Gao's team developed an interactive web portal where cancer scientists can interrogate how RNA splicing in noncoding parts of genes fuels the growth of different types of tumors.
• 

  AI helps diagnose post-COVID lung problems

  1 min read · Sun, May 29 2022

  News

  human health Imaging machine learning Computer science

  A new AI diagnostic tool developed by KAUST scientists allows doctors to visualize lung damage caused by COVID-19 in more detail.

September 2021

• 

  Meet KAUST new student: Xiuying Chen

  1 min read · Wed, Sep 29 2021

  News

  Natural Language Processing

  Xiuying Chen is a computer science graduate who joined KAUST from Wuhan University, China. Chen believes that KAUST provides an excellent research environment to carry out scientific research.

July 2021

• 

  CBRC congratulates Aryam Alotaibi a SRSI student on winning the top paper Award

  1 min read · Mon, Jul 26 2021

  News

  machine learning model evaluation bioinformatics

  Aryam Alotaibi a SRSI student at CBRC wins the top paper Award titled "Computational method to predict drug-disease associations using machine learning and graph embedding."
• 

  Training an AI eye on the Moon

  1 min read · Mon, Jul 12 2021

  News

  machine learning algorithm modeling Computer science

  Machine learning accelerates the search for promising Moon sites for energy and mineral resources.

June 2021

• 

  Multi-component flash calculation with deep learning

  1 min read · Tue, Jun 15 2021

  News

  Multiphase flows in geological formation are often needed to be solved numerically in reservoir engineering, as the subsurface oil and gas reservoirs typically contain multiple phases and multiple chemical species with complex phase behaviors.
• 

  Hybrid First Principles-Machine Learning Models

  1 min read · Tue, Jun 15 2021

  News

  Aim: Bridge first-principles physical-chemical models with machine learning models. Property Prediction: ANNs trained on quantum descriptors Reactor Prediction and Control:Reinforcement learning for chemical process control Stochastic Event Prediction:Deep learning to predict rare combustion events Investigator: Mani Sarathy Xin gao Bernard Ghanem
• 

  Cancer type, subtype, and survival prediction through glycosyltransferase-based multi-task learning

  1 min read · Thu, Jun 3 2021

  News

  Glycosylation is a post-translational modification widely implicated in structural and functional attributes of the cell. Changes in glycosylation patterns are associated with invasiveness, acquisition of virulence features promoting metastasis, and epithelial-mesenchymal transition in a wide range of solid tumors. Hence, investigation of the glycan diversity within the functional and developmental hierarchy of cancer classifications suggests their great potential and utilization as diagnostic and prognostic biomarkers. In this proposal, we follow the hypothesis that glycosyltransferases (GTs)

May 2021

• 

  Forging a career through interdisciplinarity

  1 min read · Tue, May 4 2021

  News

  The foundation of building a successful academic career is generally thought to be the pursuit of excellence through specialization. Of course, the cross-disciplinary quest has its important place, but it's often thought of primarily as the fruitful collaboration between specialized entities or experts in particular fields.

January 2021

• 

  Simulating evolution to understand a hidden switch

  1 min read · Sun, Jan 17 2021

  News

  genomics Computer science computation epigenetics

  Some organisms evolve an internal switch that can remain hidden for generations until stress flicks it on.
• 

  Xin Gao promoted to rank of professor

  1 min read · Thu, Jan 7 2021

  News

  Computer science machine learning bioinformatics

  Computational Bioscience Research Center (CBRC) would like to congratulate Xin Gao for being promoted to the rank of Professor, effective January 1, 2021. Prof. Gao joined KAUST in October 2010 and became a CBRC PI in January 2013. He has since then produced tremendous work in the areas of computational biology, bioinformatics, machine learning, and algorithms. Dr. Xin Gao is also the Acting Associate Director of the Computational Bioscience Research Center and the lead of the Structural and Functional Bioinformatics Group at KAUST. Prior to joining KAUST, he was a Lane Fellow at Lane Center

November 2020

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  Talented KAUST Ph.D. student aims to revolutionize healthcare with machine learning

  3 min read · Tue, Nov 10 2020

  News

  machine learning healthcare bioinformatics

  KAUST Ph.D. student, Yu Li, is a talented young computer scientist with an interest in developing novel computational methods and algorithms to solve and understand the principles behind the “bio-world.”

August 2020

• 

  Meet KAUST prospective student: Xiaopeng Xu

  1 min read · Wed, Aug 26 2020

  News

  Computational biology artificial intelligence

  Xiaopeng Xu is a computer science graduate who will join KAUST in the fall of 2020. Xu obtained a master’s degree in computer science from KAUST, and a bachelor’s degree in bioinformatics from Huazhong University of Science and Technology, respectively. He will join KAUST in the fall of 2020 as a Ph.D. candidate and a member of the KAUST Structural and Functional Bioinformatics group under the supervision of Professor Xin Gao.
• 

  Computers excel in chemistry class

  1 min read · Mon, Aug 24 2020

  News

  Computer science combustion machine learning

  Machine learning models can rapidly and accurately estimate key chemical parameters related to molecular reactivity.

July 2020

• 

  How AI helps improve COVID-19 testing

  1 min read · Tue, Jul 28 2020

  News

  COVID-19 artificial intelligence

  Following a call by President Tony Chan for KAUST PIs to contribute through their research capabilities to alleviate the COVID-19 pandemic, efforts coordinated by Donal Bradley, KAUST vice president for research, and Pierre Magistretti, KAUST dean of the Biological and Environmental Science and Engineering division, mobilized a group of faculty to form the Rapid Research Response Team (R3T).
• 

  KAUST Prospective Student: Siyuan Chen

  2 min read · Thu, Jul 2 2020

  News

  artificial intelligence IoT

  Siyuan Chen is a 22-year-old graduate who comes to KAUST from the School of Communication and Information Engineering, UESTC, China. Chen will join the University in the fall of 2020 as an M.S./Ph.D. candidate in the KAUST Structural and Functional Bioinformatics research group under the supervision of Professor Xin Gao.

June 2020

• 

  Meet KAUST prospective student: Juexiao Zhou

  3 min read · Mon, Jun 29 2020

  News

  protein function Medical imaging

  Juexiao Zhou is a 21-year-old graduate from Shenzhen, China, who will join KAUST in the fall of 2020 as an M.S./Ph.D. candidate and member of the KAUST Structural and Functional Bioinformatics research group under the supervision of Professor Xin Gao.
• 

  AI that's built to save lives

  1 min read · Tue, Jun 9 2020

  Spotlight News

  artificial intelligence COVID-19

  Associate Professor Xin Gao and his group have developed an artificial-intelligence (AI) based solution to help increase COVID-19 testing accuracy. Identifying cases of early stage infection has been particularly challenging for frontline clinicians. Gao's AI-based model, which aims to increase accuracy, has been put to immediate use at King Faisal Specialist Hospital (KFSH) in Riyadh.

April 2020

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  Using AI to understand the pathogenesis of COVID-19

  3 min read · Sun, Apr 12 2020

  News

  The ongoing COVID-19 pandemic has revealed itself to the world as an unprecedented viral threat with a crippling power to disrupt society as we know it.
• 

  Unlocking coronavirus' secrets through cellphone data and social media

  1 min read · Sun, Apr 12 2020

  News

  Dr. Paula Moraga is part of a multidisciplinary KAUST research team that applies models to COVID-19. She has worked on projects examining malaria in Africa and leptospirosis in Brazil, and the models she develops rely on in-depth knowledge about each disease. "With malaria, for example, we know that it's transmitted by mosquitoes," said Moraga. "So, if some regions have a high density of mosquitoes, are close to bodies of water or have a lot of humidity, we know that we are going to probably see a high risk of this disease." Into the unknown In many places, malaria and leptospirosis

March 2020

• 

  CEMSE Division startups in focus: Peregrine Genomics

  5 min read · Tue, Mar 24 2020

  News

  precision medicine big data artificial intelligence

  The future has already arrived when it comes to the most exciting and promising field of modern medicine—precision medicine.
• 

  Approximating a kernel of truth

  1 min read · Tue, Mar 10 2020

  News

  artificial intelligence machine learning

  Machine learning tasks using very large data sets can be sped up significantly by estimating the kernel function that best describes the data.

January 2020

• 

  LD Motif Finder locates ancient hidden protein patterns

  1 min read · Mon, Jan 6 2020

  News

  artificial intelligence machine learning human health bioscience

  A machine learning method has identified highly elusive amino acid sequences involved in cell morphogenesis and adhesion and in diseases like cancer.

October 2019

• 

  AI reveals nature of RNA-protein interactions

  1 min read · Wed, Oct 30 2019

  News

  artificial intelligence Computer science

  A deep learning tool could help in structure-based drug discovery.

December 2018

• 

  Please see our publication page

  1 min read · Mon, Dec 10 2018

  News

  bioinformatics Computational biology

  The SFB group has been very productive in both bioinformatics/computational biology and artificial intelligence.

October 2018

• 

  Ammar Alqatari wins first place in KGSP Poster Competition

  1 min read · Mon, Oct 29 2018

  News

  KGSP Poster Competition

  Ammar Alqatari, a KAUST Gifted Student Program (KGSP) student who interned with Associate Professor Xin Gao in the summer of 2018, has won first place in the KGSP Poster Competition held on August 28, 2018. His poster, entitled "Convolutional Sequence to Sequence Learning to Improve Nanopore Basecalling Efficiency ", is based on his work with Professor Gao about creating a deep learning model that can accurately and efficiently decode ultra-long DNA sequences from raw Nanopore signals. Watch Ammar talk about his experience as a visiting student in CBRC:
• 

  Meshari Alazmi defends his Ph.D. thesis

  1 min read · Wed, Oct 24 2018

  News

  machine learning bioinformatics structural biology systems biology

  Meshari Alazmi, a Ph.D. candidate under the supervision of Associate Professor Xin Gao, defended his Ph.D. dissertation on October 24, 2018.
• 

  Computing solutions for biological problems

  2 min read · Sun, Oct 14 2018

  News

  bioinformatics machine learning computational models

  Xin Gao’s research is building bridges between computer science and biology.
• 

  Alumni Feature: Majed Alzahrani

  2 min read · Sun, Oct 7 2018

  News Spotlight

  data science

  Working in one of the largest companies in the world is a dream come true for many. For Majed Alzahrani, a former Ph.D. student who worked under the supervision of Associate Professor Xin Gao, things couldn't be better. After graduating in 2017, he quickly joined Saudi Aramco as a data scientist in its Drilling Data Science unit.
• 

  Mining Red Sea bacteria for industrial potential

  1 min read · Thu, Oct 4 2018

  News

  marine science bioprospecting microbiology genomics

  Genome sequencing of two Red Sea bacteria highlights their potential as industrial workhorses.

May 2018

• 

  Meshari Alazami defends his thesis proposal

  1 min read · Tue, May 22 2018

  News

  machine learning bioinformatics structural biology systems biology

  Meshari Alazami, a Ph.D. student under the supervision of Associate Professor Xin Gao, successfully defended his thesis proposal on May 22, 2018. His topic, "Towards Rational Design of Biosynthesis Pathways", was well received by committee members Associate Professor Xin Gao, Distinguished Professor Takashi Gojobori and Assistant Professor Robert Hoehndorf.
• 

  Exploring science's fourth paradigm

  5 min read · Mon, May 7 2018

  News

  computational and statistical interface big data

  The recent KAUST Research Conference: Computational and Statistical Interface to Big Data brought together leading computer science researchers and statistical experts to discuss the current state and future of data science. Held on campus from March 19 to 21, the conference covered such data science topics as succinct data representation and storage; big data visualization; parallel and distributed algorithms for inference and optimization; and analysis of large graphs and networks.
• 

  Sarah Alghamdi defends her master's thesis

  1 min read · Sun, May 6 2018

  News

  artificial intelligence bioinformatics computational methods data mining

  Sarah Alghamdi successfully defended her master's thesis on April 10, 2018. Her project, entitled "Ontology Design Patterns for Combining Pathology and Anatomy: Application to Study Ageing and Longevity in Inbred Mouse Strains", was well-received by a panel of professors that included Professor Vladimir Bajic, Associate Professor Xin Gao and Assistant Professor Robert Hoehndorf.

April 2018

• 

  Siqing Hou defends his Master’s thesis

  1 min read · Mon, Apr 23 2018

  News

  bioinformatics Computational biology machine learning

  Siqing Hou, a Master's student under the supervision of Associate Professor Xin Gao, successfully defended his thesis.
• 

  Computer models combat malaria

  1 min read · Sun, Apr 15 2018

  News

  bioscience drug discovery human health

  A new malaria metabolic model may uncover better ways to treat a highly deadly disease.

August 2017

• 

  The awesome scope of big data

  2 min read · Sun, Aug 6 2017

  News

  big data artificial intelligence computational methods health protein structures biology

  Sifting through huge amounts of data may bring a better understanding of whale shark social structures, protein targets for drug therapies and disease-causing genes.

July 2017

• 

  Our work on developing deep learning method for binding affinity prediction accepted by Bioinformatics (Sequence2Vec)

  1 min read · Mon, Jul 24 2017

  News

  Deep learning

  Congratulates Ramzan, Hiro, and Yu on their work on developing a novel method that combines the strength of probabilistic graphical models, Hilbert space embedding, and deep learning to model binding affinity of transcription factors which was accepted by Bioinformatics.

May 2017

• 

  Sharing expert experimental knowledge to expedite design

  1 min read · Thu, May 25 2017

  News

  synthetic biology bioscience Computer science

  A repository of metabolic information provides a quick reference tool for designing useful synthetic biological systems.

March 2017

• 

  Professors discuss big data and human health in latest Sci-Café

  1 min read · Mon, Mar 13 2017

  News

  machine learning big data artificial intelligence comparative genomics biomedical data human health

  ​Professors Takashi Gojobori, Xin Gao and Robert Hoehndorf spoke about big data and human health at the Sci-Café event held on February 27. Their talk, which was moderated by James Calvin, Vice President for Academic Affairs, aimed to answer the question, "Can Big Data Solve My Health Problems?" This event was open to all members of the KAUST community.

July 2016

• 

  Exploring artificial biosynthesis

  1 min read · Sat, Jul 16 2016

  News

  Computer science bioscience biosynthesis

  Metabolic route explorer helps to optimize the pathways for artificial biosynthesis of valuable products.

June 2016

• 

  Exploring protein form to find function

  1 min read · Sat, Jun 25 2016

  News

  Computer science genomics proteins

  Existing systems for predicting protein structure are outperformed by a newly developed method.

February 2016

• 

  Noisy cells produce bursts of protein

  1 min read · Sat, Feb 20 2016

  News

  Computer science bioscience genetics

  A new mathematical model explains how random factors affect the production of proteins within the cells.

September 2015

• 

  Unlocking complex interactions

  1 min read · Sat, Sep 19 2015

  News

  Computer science bioscience

  Functions of interacting molecular complexes are uncovered through a novel method of aligning the interaction interface of each complex.
• 

  Our work on collective estimation of multiple bivariate functions published in JASA

  1 min read · Thu, Sep 17 2015

  News

  Congratulates Xin on his joint work with Prof. Jianhua Huang at Texas A&M University on the collective estimation of multiple bivariate density functions with application to angular-sampling-based protein loop modeling that was published in JASA.

August 2015

• 

  Our drug repositioning framework published in Bioinformatics

  1 min read · Wed, Aug 12 2015

  News

  BioinformaticsNaveed

July 2015

• 

  Our work on structural alignment of interaction interfaces presented at ISMB2015

  1 min read · Tue, Jul 14 2015

  News

  Congratulates Xuefeng on presenting his work on the structural alignment of biomolecular interaction interfaces at ISMB2015 conference.

June 2015

• 

  Our work on parameter estimation methods for gene circuits published in Briefings in Bioinformatics

  1 min read · Mon, Jun 29 2015

  News

  Congratulates Ming, Hiro, and Xiaolei on their work on parameter estimation methods for gene circuit modeling from time-series mRNA data which was published in Briefings in Bioinformatics.
• 

  Peak performance for proteins

  1 min read · Sat, Jun 13 2015

  News

  bioscience biology proteins NMR

  An improved peak fitting procedure enables a better determination of protein structures.

May 2015

• 

  Finding the Face in the Crowd

  1 min read · Sat, May 30 2015

  News

  Computer science statistics applied mathematics computational science

  An algorithm that maximizes the difference between data categories achieves high accuracy in classifying faces.

August 2013

• 

  Two papers published at Pattern Recognition

  1 min read · Mon, Aug 19 2013

  News

  PatternRecognition

July 2013

• 

  Kuwahara's paper published at Scientific Reports

  1 min read · Fri, Jul 26 2013

  News

  Hiroyuki Kuwahara and Xin Gao coauthored a paper, "Stochastic effects as a force to increase the complexity of signaling networks", that was accepted by Scientific Reports (Nature Publishing Group).

April 2013

• 

  Two papers accepted by ISMB2013

  1 min read · Tue, Apr 23 2013

  News

  Two papers are accepted by ISMB2013 (The 21st International Conference on Intelligent Systems for Molecular Biology), to be held in Berlin, Germany, during July 21-23, 2013.

February 2013

• 

  International Conference on Biomolecular Dynamics: Experiment Meets Computation to be held at KAUST during Feb 23-25

  1 min read · Sat, Feb 23 2013

  News

  Xin Gao will chair the International Conference on Biomolecular Dynamics: Experiment Meets Computation to be held at KAUST during Feb 23-25.

January 2013

• 

  BH peak selection published at PLOS One

  1 min read · Mon, Jan 7 2013

  News

  Ahmed Abbas' new NMR peak selection method that is based on the Benjamini-Hochberg algorithm is published by PLOS One.

September 2012

• 

  Protein function annotation methods published at Bioinformatics

  1 min read · Sat, Sep 15 2012

  News

  Mario Messih's protein function annotation methods that are based on domain order and recurrence is published at Bioinformatics.

July 2012

• 

  LagSVD accepted by Briefings in Bioinformatics

  1 min read · Mon, Jul 16 2012

  News

  Paper "Assessing protein conformational sampling methods based on bivariate lag-distributions of backbone angles" is accepted for publication at Briefings in Bioinformatics (IF: 5.202).

February 2012

• 

  WaVPeak published at Bioinformatics

  1 min read · Wed, Feb 8 2012

  News

  Article "WaVPeak: picking NMR peaks through wavelet-based smoothing and volume-based filtering" published at Bioinformatics (IF: 4.877).
• 

  Two papers accepted by BMC Bioinformatics

  1 min read · Wed, Feb 1 2012

  News

  Two articles "Combining automated peak tracking in SAR by NMR with structure-based backbone assignment from 15N-NOESY" and "ProDis-ContSHC: learning protein dissimilarity measures and hierarchical context coherently for protein-protein comparison in protein database retrieval" are accepted for publication on BMC Bioinformatics (IF: 3.03).

January 2012

• 

  ProClusEnsem published at Computers in Biology and Medicine

  1 min read · Wed, Jan 18 2012

  News

  Article "ProClusEnsem: predicting membrane protein types by fusing different models of pseudo amino acid composition" is accepted for publication at Computers in Biology and Medicine (IF: 1.112).

May 1987

• 

  SECOM is accepted for publication at PLoS ONE

  1 min read · Sat, May 23 1987

  News

  SECOM is accepted for publication at PLoS ONE