z-logo
open-access-imgOpen Access
MOSClip: multi-omic and survival pathway analysis for the identification of survival associated gene and modules
Author(s) -
Paolo Martini,
Monica Chiogna,
Enrica Calura,
Chiara Romualdi
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/gkz324
Subject(s) - biology , computational biology , false positive paradox , identification (biology) , omics , druggability , survival analysis , gene expression profiling , bioinformatics , gene , gene expression , genetics , computer science , machine learning , medicine , botany

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom