Open AccessWITER: a powerful method for estimation of cancer-driver genes using a weighted iterative regression modelling background mutation counts
Author(s) -
Lin Jiang,
Jingjing Zheng,
Johnny S. H. Kwan,
Sheng Dai,
Cong Li,
Mulin Jun Li,
Bolan Yu,
KaFai To,
Pak C. Sham,
Yonghong Zhu,
Miaoxin Li
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/gkz566
Subject(s) - biology , in silico , gene , computational biology , genetics , mutation , regression , statistics , mathematics
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