Open AccessDriverML: a machine learning algorithm for identifying driver genes in cancer sequencing studies
Author(s) -
Yi Han,
Juze Yang,
Xiao Qian Qian,
WeiChung Cheng,
Shu-Hsuan Liu,
Xing Hua,
Liyuan Zhou,
Yaning Yang,
Qingbiao Wu,
Pengyuan Liu,
Yan Lü
Publication year - 2019
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkz096
Subject(s) - false positive paradox , machine learning , benchmark (surveying) , consistency (knowledge bases) , gene selection , computer science , biology , artificial intelligence , gene , computational biology , data mining , genetics , microarray analysis techniques , gene expression , geodesy , geography