Systematic interrogation of diverse Omic data reveals interpretable, robust, and generalizable transcriptomic features of clinically successful therapeutic targets

Title
Systematic interrogation of diverse Omic data reveals interpretable, robust, and generalizable transcriptomic features of clinically successful therapeutic targets
Authors
Keywords
Phase III clinical investigation, Gene expression, Permutation, Machine learning, Phenotypes, Protein expression, Tissue proteins, Gene targeting
Journal
PLoS Computational Biology
Volume 14, Issue 5, Pages e1006142
Publisher
Public Library of Science (PLoS)
Online
2018-05-22
DOI
10.1371/journal.pcbi.1006142

Ask authors/readers for more resources

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now