Back to search

Article

Improving the value of public RNA-seq expression data by phenotype prediction

2017-06-03

Abstract excerpt

<h4>Background</h4> Publicly available genomic data are a valuable resource for studying normal human variation and disease, but these data are often not well labeled or annotated. The lack of phenotype information for public genomic data severely limits their utility for addressing targeted biological questions. <h4>Results</h4> We develop an in silico phenotyping approach for predicting critical missing annot...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
af8c0644-c021-580c-bc87-d5180619b49a
DOI
10.1101/145656
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Improving the value of public RNA-seq expression data by phenotype predictionDOI 10.1101/145656
Select a neighboring publication to make it the new centre.