"WEVar: a novel statistical learning framework for predicting noncoding ..."

Ye Wang et al. (2021)

> Home

Details and statistics

DOI: 10.1093/BIB/BBAB189

access: closed

type: Journal Article

metadata version: 2024-10-06

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/bib/WangJYHLWQSC21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/bib/WangJYHLWQSC21
Ye Wang, Yuchao Jiang, Bing Yao, Kun Huang, Yunlong Liu, Yue Wang, Xiao Qin, Andrew J. Saykin, Li Chen:
WEVar: a novel statistical learning framework for predicting noncoding regulatory variants. Briefings Bioinform. 22(6) (2021)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.