KINC specifications


Unique identifier OMICS_32980
Alternative name Knowledge Independent Network Construction
Software type Application/Script
Interface Command line interface
Restrictions to use None
Input data A gene expression matrix.
Output data A gene co-expression network.
Operating system Unix/Linux, Windows
Programming languages C++
License GNU General Public License version 2.0
Computer skills Advanced
Version 3.2.1
Stability Stable
Maintained Yes




No version available



  • person_outline Frank A. Feltus
  • person_outline Stephen Ficklin

Publication for Knowledge Independent Network Construction

KINC citations


Discovery and validation of a glioblastoma co expressed gene module

PMCID: 5834250
PMID: 29541392
DOI: 10.18632/oncotarget.24228

[…] For GBM comparisons with the Brain GEM, 63 transcripts in Brain M0257 were used to extract a 63 × 138 GEM with only normal brain datasets-no GBM datasets. This mini-GEM was processed with KINC [] and edges matching those in Brain M0257 were identified. For cancer-specific comparisons with the random GEM, 54 transcripts in TCGA M0214 were identified in the Brain GEM and the Random GEM. […]


Discovering Condition Specific Gene Co Expression Patterns Using Gaussian Mixture Models: A Cancer Case Study

Sci Rep
PMCID: 5561081
PMID: 28819158
DOI: 10.1038/s41598-017-09094-4

[…] ixed condition input samples. The GMM approach could be incorporated into any existing tool, but in this study we add support for GMMs into the open-source Knowledge Independent Network Construction (KINC) software package. KINC is freely available at and is the successor of the RMTGeneNet package. […]

KINC institution(s)
Department of Horticulture, Washington State University, Pullman, WA, USA; Department of Genetics & Biochemistry, Clemson University, Clemson, SC, USA; Molecular Plant Sciences Program, Washington State University, Pullman, WA, USA
KINC funding source(s)
Supported by the National Science Foundation and the U.S. Department of Energy’s Ofce of Science and by the US National Science Foundation (NSF) SciDAS project (Award #1659300).

KINC reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review KINC