About Kexin Niu Kexin Niu Ph.D. Student, Bioengineering bioinformatics artificial intelligence Kexin Niu, is an M.S./Ph.D. candidate in the Bio-Ontology Research Group (BORG) under the supervision of Professor Robert Hoehndorf. Before joining KAUST Kexin obtained her bachelor's degree in Bioinformatics from Southern University of Science and Technology, Shenzhen, China. "What I like best about KAUST is the communication of diverse cultures and diverse disciplines, which enables me to have more possibilities." Research Interest Kexin’ s Research interests include but are not limited to bioinformatics and application of machine learning method in biomedical data. Education Profile 2016 - Projects Related Projects 2022 Computational methods for functional metagenomics: from protein functions to multi-scale interactions Sat, Jan 1 2022 - Tue, Dec 31 2024 Applied Ontology Microbial communities Neuro-Symbolic AI protein function Metagenomic sequencing has made it routine to read the DNA of an entire microbial community, but most analysis pipelines stop at taxonomic composition or at the level of individual protein families. The really biologically informative questions, which proteins do what, which proteins interact, which metabolic pathways are reconstructible, and how the community as a whole interacts with its environment or host, remain largely out of reach computationally. Even associations that are very robust empirically, for example between gut microbiome composition and colorectal cancer or inflammatory
Computational methods for functional metagenomics: from protein functions to multi-scale interactions Sat, Jan 1 2022 - Tue, Dec 31 2024 Applied Ontology Microbial communities Neuro-Symbolic AI protein function Metagenomic sequencing has made it routine to read the DNA of an entire microbial community, but most analysis pipelines stop at taxonomic composition or at the level of individual protein families. The really biologically informative questions, which proteins do what, which proteins interact, which metabolic pathways are reconstructible, and how the community as a whole interacts with its environment or host, remain largely out of reach computationally. Even associations that are very robust empirically, for example between gut microbiome composition and colorectal cancer or inflammatory
Related Sites Bioengineering (BioE) Bio-Ontology Research Group (BORG) Computer Science (CS) Related Content Projects 1
