About Siqing Hou Siqing Hou M.S., Computer Science bioinformatics Computational biology machine learning Siqing Hou obtained his Master's degree in Computer Science under the supervision of Professor Xin Gao at Structural and Functional Bioinformatics Group at King Abdullah University of Science and Technology (KAUST). Master Thesis, 2018: Neural Inductive Matrix Completion for Predicting Disease-Gene Associations Research Interests Siqing Hou was working in the fields of Bioinformatics, Computational Biology and Machine Learning. Professional Profile Research Student, University of Birmingham, Jul 2015 - Aug 2018 Software Effort Estimation, Machine Learning Education Profile M.Sc. Computer Events Presented Events Apr 15 - Apr 21, 2018 Neural Inductive Matrix Factorization for Predicting Disease-Gene Associations Siqing Hou, M.S., Computer Science Apr 18, 10:00 - 11:30 B3 R5208 bioinformatics machine learning Disease-Gene Associations In silico prioritization of undiscovered associations can help find causal genes of newly discovered diseases. Some existing methods are based on known associations and side information of diseases and genes. We exploit the possibility of using a neural network model, Neural Inductive Matrix Completion (NIMC) in disease-gene prediction.
Neural Inductive Matrix Factorization for Predicting Disease-Gene Associations Siqing Hou, M.S., Computer Science Apr 18, 10:00 - 11:30 B3 R5208 bioinformatics machine learning Disease-Gene Associations In silico prioritization of undiscovered associations can help find causal genes of newly discovered diseases. Some existing methods are based on known associations and side information of diseases and genes. We exploit the possibility of using a neural network model, Neural Inductive Matrix Completion (NIMC) in disease-gene prediction.
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