Publication: "Bioinformatics Methods to Select Prognostic Biomarker Genes from Large Scale Datasets: A Review"

on the December 17, 2018

Rémy Jardillier, Florent Chatelain and Laurent Guyon publish "Bioinformatics Methods to Select Prognostic Biomarker Genes from Large Scale Datasets: A Review" in Biotechnology Journal in the framework of the Data Institute’s work package 2 “Data Science for Life Sciences”.
Rémy Jardillier (BIG, CEA Grenoble), Florent Chatelain (GIPSA-Lab, Grenobel INP) and Laurent Guyon (BCI laboratory, CEA Grenoble) propose a review of bioinformatics methods to select prognostic biomarker in Biotechnology Journal. After describing the historical methodologies, the article presents studies that have been performed in the last few years and illustrate their concepts with a renal cancer dataset.

Link for the publication

http://dx.doi.org/10.1002/biot.201800103


Published on December 17, 2018