An integrated machine learning approach for predicting DosR-regulated genes in Mycobacterium tuberculosis (Q33548114)

28 July 2017

An integrated machine learning approach for predicting DosR-regulated genes in Mycobacterium tuberculosis (English)

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Mycobacterium tuberculosis

28 July 2017

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author name string

Yi Zhang

1

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28 July 2017

Kim A Hatch

2

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28 July 2017

Joanna Bacon

3

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28 July 2017

Lorenz Wernisch

4

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28 July 2017

31 March 2010

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28 July 2017

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28 July 2017

4

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28 July 2017

37

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https://scigraph.springernature.com/pub.10.1186/1752-0509-4-37

28 July 2017

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cites work

Fast network component analysis (FastNCA) for gene regulatory network reconstruction from microarray data

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2867773

A Bayesian Change point model for differential gene expression patterns of the DosR regulon of Mycobacterium tuberculosis

28 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2867773

Factor analysis for gene regulatory networks and transcription factor activity profiles

28 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2867773

Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities

28 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2867773

Ranked prediction of p53 targets using hidden variable dynamic modeling

28 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2867773

Bayesian sparse hidden components analysis for transcription regulation networks

28 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2867773

Transcription and autoregulation of the Rv3134c-devR-devS operon of Mycobacterium tuberculosis

28 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2867773

Predicting transcription factor activities from combined analysis of microarray and ChIP data: a partial least squares approach

28 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2867773

Inferring quantitative models of regulatory networks from expression data

28 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2867773

The influence of reduced oxygen availability on pathogenicity and gene expression in Mycobacterium tuberculosis

28 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2867773

Network component analysis: reconstruction of regulatory signals in biological systems

28 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2867773

Rv3133c/dosR is a transcription factor that mediates the hypoxic response of Mycobacterium tuberculosis

28 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2867773

gNCA: a framework for determining transcription factor activity based on transcriptome: identifiability and numerical implementation

28 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2867773

The Mycobacterium tuberculosis dosRS two-component system is induced by multiple stresses.

31 October 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2867773

Regulation of the Mycobacterium tuberculosis hypoxic response gene encoding α-crystallin

31 October 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2867773

31 October 2018

Identifiers

DOI

10.1186/1752-0509-4-37

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journals/bmcsb/ZhangHBW10

28 July 2017

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DBLP Dataset 2021-01-02

Dimensions Publication ID

28 January 2021

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1 reference

28 July 2017

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