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Empirical Bayes Meets Information Theoretical Network Reconstruction from Single Cell Data

Empirical Bayes Meets Information Theoretical Network Reconstruction from Single Cell Data

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2071179921

Empirical Bayes Meets Information Theoretical Network Reconstruction from Single Cell Data

About this item

Full title

Empirical Bayes Meets Information Theoretical Network Reconstruction from Single Cell Data

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

Journal title

bioRxiv, 2018-02

Language

English

Formats

Publication information

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

More information

Scope and Contents

Contents

Gene expression is controlled by networks of transcription factors and regulators, but the structure of these networks is as yet poorly understood and is thus inferred from data. Recent work has shown the efficacy of information theoretical approaches for network reconstruction from single cell transcriptomic data. Such methods use information to e...

Alternative Titles

Full title

Empirical Bayes Meets Information Theoretical Network Reconstruction from Single Cell Data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2071179921

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2071179921

Other Identifiers

E-ISSN

2692-8205

DOI

10.1101/264853