New Results

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

Shannon E. Ellis, Leonardo Collado-Torres, Jeffrey T. Leek
doi: https://doi.org/10.1101/145656

Article Information

doi 
https://doi.org/10.1101/145656
History 
  • June 3, 2017.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.

Author Information

  1. Shannon E. Ellis1,2,
  2. Leonardo Collado-Torres3 and
  3. Jeffrey T. Leek1,2,†
  1. 1Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health
  2. 2Center for Computational Biology, Johns Hopkins University
  3. 3Lieber Institute for Brain Development, Johns Hopkins Medical Campus
  1. ↵†corresponding author; jtleek{at}gmail.com
Back to top
Posted June 03, 2017.
Download PDF
Email
Improving the value of public RNA-seq expression data by phenotype prediction
Shannon E. Ellis, Leonardo Collado-Torres, Jeffrey T. Leek
bioRxiv 145656; doi: https://doi.org/10.1101/145656
Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Citation Tools

Subject Area