Cox-nnet specifications

Information


Unique identifier OMICS_14237
Software type Package/Module
Interface Command line interface
Restrictions to use None
Output data A log hazard ratios for each patient with the relative risk.
Operating system Unix/Linux, Mac OS, Windows
Programming languages Python
Computer skills Advanced
Version 0.201
Stability Stable
Maintained Yes

Taxon


  • Animals
    • Homo sapiens

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Maintainer


  • person_outline Lana Garmire <>

Cox-nnet article

Cox-nnet institution(s)
Molecular Biosciences and Bioengineering Graduate Program, University of Hawaii at Manoa, Honolulu, HI, USA; Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
Cox-nnet funding source(s)
This research was supported by grants K01ES025434 awarded by NIEHS through funds provided by the trans-NIH Big Data to Knowledge (BD2K) initiative; P20 COBRE GM103457 276 awarded by NIH/NIGMS; R01 LM012373 awarded by NLM; R01 HD084633 awarded by NICHD and 277 Hawaii Community Foundation Medical Research Grant 14ADVC-64566.

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