AUTHOR=Ye Lili , Lin Yongwei , Fan Xing-di , Chen Yaoming , Deng Zengli , Yang Qian , Lei Xiaotian , Mao Jizong , Cui Chunhui 

TITLE=Identify Inflammatory Bowel Disease-Related Genes Based on Machine Learning

JOURNAL=Frontiers in Cell and Developmental Biology

VOLUME=Volume 9 - 2021

YEAR=2021

URL=https://www.frontiersin.org/journals/cell-and-developmental-biology/articles/10.3389/fcell.2021.722410

DOI=10.3389/fcell.2021.722410

ISSN=2296-634X

ABSTRACT=The patients of Inflammatory bowel disease (IBD) are increasing worldwide. IBD has the characteristics of recurring and difficult to cure, and it is also one of the high-risk factors for colorectal cancer. The occurrence of IBD is closely related to genetic factors, which prompted us to identify IBD-related genes. Based on the hypothesis that similar diseases are related to similar genes, we purposed a SVM-based method to identify IBD-related genes by disease similarities and gene interactions. 135 diseases which have similarities with IBD and their related genes were obtained. These genes are considered as the candidates of IBD-related genes. We extracted features of each gene and implemented SVM to identify the probability that it is related to IBD. 10-cross validation was applied to verify the effectiveness of our method. We prioritized the candidate genes and did case studies on top five genes.