New Results

Connectivity of variants in eQTL networks dictates reproducibility and functionality

Sheila M. Gaynor, Maud Fagny, Xihong Lin, John Platig, John Quackenbush
doi: https://doi.org/10.1101/515551

Article Information

doi 
https://doi.org/10.1101/515551
History 
  • January 9, 2019.
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-NC-ND 4.0 International license.

Author Information

  1. Sheila M. Gaynor1,2,
  2. Maud Fagny2,
  3. Xihong Lin1,3,
  4. John Platig2 and
  5. John Quackenbush1,2
  1. 1Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
  2. 2Department of Biostatistics and Computational Biology and Center for Cancer Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
  3. 3Department of Statistics, Harvard University, Cambridge, Massachusetts, USA
Back to top
Posted January 09, 2019.
Download PDF
Email
Connectivity of variants in eQTL networks dictates reproducibility and functionality
Sheila M. Gaynor, Maud Fagny, Xihong Lin, John Platig, John Quackenbush
bioRxiv 515551; doi: https://doi.org/10.1101/515551
Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools

Subject Area