ProGENI specifications

Unique identifier:
OMICS_20260
Software type:
Application/Script
Restrictions to use:
None
Input format:
CSV
Programming languages:
Python
Computer skills:
Advanced
Requirements:
Numpy, Scipy, Pandas, Sklearn
Name:
Prioritization of Genes Enhanced with Network Information
Interface:
Command line interface
Input data:
A list of gene expressions.
Operating system:
Unix/Linux
License:
MIT License
Stability:
Stable
Maintained:
Yes

versioning

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ProGENI distribution

download

ProGENI support

Maintainers

  • Saurabh Sinha <>
  • Liewei Wang <>

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Credits

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Publications

Institution(s)

Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic Rochester, Rochester, MN, USA; Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA; Department of Computer Science and Institute of Genomic Biology, University of Illinois at Urbana-Champaign, Siebel Center, Urbana, IL, USA

Funding source(s)

Supported by grant 1U54GM114838 awarded by NIGMS through funds provided by the trans-NIH Big Data to Knowledge (BD2K) initiative.

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