KG-SCCA specifications

Information


Unique identifier OMICS_19426
Name KG-SCCA
Alternative name Knowledge-Guided Sparse Canonical Correlation Analysis
Software type Application/Script
Interface Command line interface
Restrictions to use None
Computer skills Advanced
Stability Stable
Maintained Yes

Versioning


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Maintainer


  • person_outline Li Shen <>

Publication for Knowledge-Guided Sparse Canonical Correlation Analysis

KG-SCCA institution(s)
BioHealth, Indiana University School of Informatics & Computing, Indianapolis, IN, USA; Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA; Computer Science & Engineering, The University of Texas at Arlington, TX, USA; Genetics, Community & Family Medicine, Dartmouth Medical School, Lebanon, NH, USA
KG-SCCA funding source(s)
supported by the National Institutes of Health [R01 LM011360, U01 AG024904, RC2 AG036535, R01 AG19771, P30 AG10133] and the National Science Foundation [IIS-1117335] at IU; by the National Science Foundation [IIS-1117965, IIS- 1302675, IIS-1344152, DBI-1356628] at UTA; and by the National Institutes of Health [R01 LM011360, R01 LM009012, R01 LM010098] at Dartmouth.

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