RIDDLE specifications

Information


Unique identifier OMICS_29088
Name RIDDLE
Alternative name Race and ethnicity Imputation from Disease history with Deep LEarning
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Python
License Apache License version 2.0
Computer skills Advanced
Version 2.0.1
Stability Stable
Requirements
python, python2, scikit-learn, scipy, numpy, matplotlib, sklearn, h5py, keras, tensorflow, riddle, race and ethnicity imputation from disease history with deep learning
Maintained Yes

Download


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Versioning


No version available

Maintainers


  • person_outline Andrey Rzhetsky
  • person_outline Ji-Sung Kim

Additional information


https://riddle.ai/

Publication for Race and ethnicity Imputation from Disease history with Deep LEarning

RIDDLE institution(s)
Department of Computer Science, Princeton University, Princeton, NJ, USA; King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Thuwal, Saudi Arabia; Institute for Genomics and Systems Biology, Computation Institute, Departments of Medicine and Human Genetics, University of Chicago, Chicago, IL, USA
RIDDLE funding source(s)
Supported by funds from the Defense Advanced Projects Agency, contract W911NF1410333; the National Heart Lung and Blood Institute, award R01HL122712; the National Institute of Mental Health, award P50 MH094267; by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR), awards FCC/1/1976-04, URF/1/3007-01, URF/1/ 3450-01 and URF/1/3454-01, and a gift from Liz and Kent Dauten.

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