diploS/HIC specifications

Information


Unique identifier OMICS_27140
Name diploS/HIC
Alternative name diploid Soft/Hard Inference through Classification
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages C, Python
Computer skills Advanced
Stability Stable
Requirements
python, scikit-learn, scipy, numpy, conda, pandas, argparse, keras, anaconda, tensorflow, diplos/hic, anaconda 5.0.1 5.0.1, anaconda 5.0.1
Maintained Yes

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Maintainers


  • person_outline Andrew Kern <>
  • person_outline Daniel Schrider <>

Additional information


https://github.com/kern-lab/diploSHIC/wiki

Publication for diploid Soft/Hard Inference through Classification

diploS/HIC institution(s)
Rutgers University, Department of Genetics, Piscataway, NJ, USA
diploS/HIC funding source(s)
Supported by National Institute of Health award no. R01GM117241 and by NIH award no. K99HG008696.

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