Ontology highlight
ABSTRACT:
SUBMITTER: Szklarczyk R
PROVIDER: S-EPMC4702868 | biostudies-literature | 2016 Jan
REPOSITORIES: biostudies-literature
Szklarczyk Radek R Megchelenbrink Wout W Cizek Pavel P Ledent Marie M Velemans Gonny G Szklarczyk Damian D Huynen Martijn A MA
Nucleic acids research 20151117 D1
We have developed the Weighted Gene Expression Tool and database (WeGET, http://weget.cmbi.umcn.nl) for the prediction of new genes of a molecular system by correlated gene expression. WeGET utilizes a compendium of 465 human and 560 murine gene expression datasets that have been collected from multiple tissues under a wide range of experimental conditions. It exploits this abundance of expression data by assigning a high weight to datasets in which the known genes of a molecular system are harm ...[more]