Literature DB >> 29608663

pyNBS: a Python implementation for network-based stratification of tumor mutations.

Justin K Huang1, Tongqiu Jia2, Daniel E Carlin2, Trey Ideker1,2.   

Abstract

Summary: We present pyNBS: a modularized Python 2.7 implementation of the network-based stratification (NBS) algorithm for stratifying tumor somatic mutation profiles into molecularly and clinically relevant subtypes. In addition to release of the software, we benchmark its key parameters and provide a compact cancer reference network that increases the significance of tumor stratification using the NBS algorithm. The structure of the code exposes key steps of the algorithm to foster further collaborative development. Availability and implementation: The package, along with examples and data, can be downloaded and installed from the URL https://github.com/idekerlab/pyNBS.

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Year:  2018        PMID: 29608663      PMCID: PMC6084608          DOI: 10.1093/bioinformatics/bty186

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


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