title: Analysis of Important Gene Ontology Terms and Biological Pathways Related to Pancreatic Cancer.
abstract: Pancreatic cancer is a serious disease that results in more than thirty thousand deaths around the world per year. To design effective treatments, many investigators have devoted themselves to the study of biological processes and mechanisms underlying this disease. However, it is far from complete. In this study, we tried to extract important gene ontology (GO) terms and KEGG pathways for pancreatic cancer by adopting some existing computational methods. Genes that have been validated to be related to pancreatic cancer and have not been validated were represented by features derived from GO terms and KEGG pathways using the enrichment theory. A popular feature selection method, minimum redundancy maximum relevance, was employed to analyze these features and extract important GO terms and KEGG pathways. An extensive analysis of the obtained GO terms and KEGG pathways was provided to confirm the correlations between them and pancreatic cancer.
authors.affiliation: Department of Gastroenterology, Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200011, China.
authors.forename: Hang
authors.initials: H
authors.lastname: Yin
authors.affiliation: School of Life Sciences, Shanghai University, Shanghai 200444, China.
authors.forename: ShaoPeng
authors.initials: S
authors.lastname: Wang
authors.affiliation: Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
authors.forename: Yu-Hang
authors.initials: YH
authors.lastname: Zhang
authors.affiliation: School of Life Sciences, Shanghai University, Shanghai 200444, China.
authors.forename: Yu-Dong
authors.identifier: 0000-0001-5664-7979
authors.initials: YD
authors.lastname: Cai
authors.affiliation: Department of Gastroenterology, Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200011, China.
authors.forename: Hailin
authors.identifier: 0000-0002-7545-2023
authors.initials: H
authors.lastname: Liu
mesh_terms: D030541:Databases, Genetic; D063990:Gene Ontology; D006801:Humans; D010190:Pancreatic Neoplasms / Q000235:genetics / Q000378:metabolism; D015398:Signal Transduction / Q000235:genetics / Q000502:physiology