Prediction of Essential Genes in Comparison States Using Machine Learning
IEEE/ACM Transactions on Computational Biology and Bioinformatics(2021)
摘要
Identifying essential genes in comparison states (EGS) is vital to understanding cell differentiation, performing drug discovery, and identifying disease causes. Here, we present a machine learning method termed Prediction of Essential Genes in Comparison States (PreEGS). To capture the alteration of the network in comparison states, PreEGS extracts topological and gene expression features of each...
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关键词
Gene expression,Machine learning,Diseases,Proteins,Feature extraction,Drugs,Organisms
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