SITAR specifications

Information


Unique identifier OMICS_20627
Name SITAR
Alternative name Sparse latent varIable model of TrAnscritional Regulation
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
License BSD 3-clause “New” or “Revised” License
Computer skills Advanced
Stability Stable
Maintained Yes

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Maintainer


  • person_outline Mudassar Iqbal

Publication for Sparse latent varIable model of TrAnscritional Regulation

SITAR citation

library_books

Efficient inference for sparse latent variable models of transcriptional regulation

2017
Bioinformatics
PMCID: 5860323
PMID: 28961802
DOI: 10.1093/bioinformatics/btx508

[…] xpression data becomes available, efficient methods are therefore needed to extract biological information from these data.Here, we present a novel method in the family of sparse factor models, named SITAR (Sparse latent varIable model of TrAnscritional Regulation), in which a spike-and-slab prior is used to induce sparsity in network connections. We propose an efficient variational inference meth […]

SITAR institution(s)
Dept. of Computer Science, University of Sheffield, Sheffield, UK; Amazon Research, Cambridge, UK; Faculty of Biology, Medicine, and Health Sciences, University of Manchester, Manchester, UK
SITAR funding source(s)
Supported by Medical Research Council (MRC), UK, grant number MR/M012174/1.

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