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FUN-LDA specifications

Information


Unique identifier OMICS_25990
Name FUN-LDA
Alternative name FUN Latent Dirichlet Allocation
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 3.0, GNU General Public License version 2.0
Computer skills Advanced
Version 1.1
Stability Stable
Maintained Yes

Versioning


No version available

Documentation


Maintainer


  • person_outline Iuliana Ionita-Laza <>

Additional information


https://cran.r-project.org/web/packages/FUNLDA/

Publication for FUN Latent Dirichlet Allocation

FUN-LDA citation

library_books

Identifying and exploiting trait relevant tissues with multiple functional annotations in genome wide association studies

2018
PMCID: 5805369
PMID: 29377896
DOI: 10.1371/journal.pgen.1007186

[…] proposed to first identify trait-relevant tissue group and then identify trait-relevant tissue within the tissue group []. in addition, using synthetic annotations generated from genoskyline [] or fun-lda [] could be particularly useful for identifying fine scale trait-relevant tissues. our method can be easily adapted to incorporate a two-step analysis procedure and/or accommodate synthetic […]


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FUN-LDA institution(s)
Department of Biostatistics, Columbia University, New York, NY, USA; Department of Medicine, Columbia University, New York, NY, USA; INSERM, U900, Paris, France; Institut Curie, Mines ParisTech, PSL Research University, Paris, France; Department of Epidemiology, Columbia University, New York, NY, USA; Department of Dermatology, Columbia University, New York, NY, USA; Department of Physiology and Biophysics, Weill Medical College, Cornell University, New York, NY, USA; Department of Genetics and Development, Columbia University, New York, NY, USA; Departments of Psychiatry, Neuroscience, and Genetics and Genomic Sciences, Icahn School of Medicine at Mount SInai, New York, NY, USA; Friedman Brain Institute and Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
FUN-LDA funding source(s)
Supported by National Institutes of Health grants MH106910, AR065963, DK105124 and the Herbert Irving Scholars Award, MH100233 and the Seaver Foundation, the ATIP-Avenir program.

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