SPIEC-EASI specifications

Information


Unique identifier OMICS_18242
Name SPIEC-EASI
Alternative name SParse InversE Covariance Estimation for Ecological Association Inference
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Version 0.1.2
Stability Stable
Maintained Yes

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Maintainer


  • person_outline Zachary Kurtz <>

Publication for SParse InversE Covariance Estimation for Ecological Association Inference

SPIEC-EASI institution(s)
Departments of Microbiology and Medicine, New York University School of Medicine, New York, NY, USA; Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, USA; Courant Institute of Mathematical Sciences, New York University, New York, NY, USA; Simons Center for Data Analysis, Simons Foundation, New York, NY, USA
SPIEC-EASI funding source(s)
Supported by the National Institutes of Health grants T32AI007180-30, R01 DK103358-01 and RO1 GM63270 and the Simons Foundation.

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