research data . Dataset . 2018

Most significant Gene Ontology terms associated with the miRNA targeted genes for Biological Process obtained through enrichment analysis via Enrichr [54].

Bhowmick, Shib Sankar; Saha, Indrajit; Bhattacharjee, Debotosh; Genovese, Loredana M.; Geraci, Filippo;
  • Published: 01 Jan 2018
  • Publisher: Figshare
Abstract
<p>Most significant Gene Ontology terms associated with the miRNA targeted genes for Biological Process obtained through enrichment analysis via Enrichr [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0200353#pone.0200353.ref054" target="_blank">54</a>].</p>
Subjects
free text keywords: Biochemistry, Cell Biology, Genetics, Molecular Biology, Biotechnology, Cancer, 110309 Infectious Diseases, 69999 Biological Sciences not elsewhere classified, influence gene expression, candidate, SVM, classification accuracy, miRNA biomarkers MicroRNAs, NGS, 10 cancer-specific panels, microRNA, distill cancer-specific panels, sample, data mining tools, cancer-specific panels, UTR, analysis
Download from
figshare
Dataset . 2018
Provider: figshare
Powered by OpenAIRE Open Research Graph
Any information missing or wrong?Report an Issue