Comparative analysis of module-based versus direct methods for reverse-engineering transcriptional regulatory networks (Q30487711)

14 November 2017

Comparative analysis of module-based versus direct methods for reverse-engineering transcriptional regulatory networks (English)

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14 November 2017

1

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14 November 2017

5

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14 November 2017

Riet De Smet

2

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PMCID

2684101

14 November 2017

Anagha Joshi

series ordinal

3

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14 November 2017

7 May 2009

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14 November 2017

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14 November 2017

3

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14 November 2017

49

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Creative Commons Attribution 2.0 Generic

14 November 2017

start time

7 May 2009

1 reference

April 2022 Public Data File from Crossref

copyright status

copyrighted

1 reference

April 2022 Public Data File from Crossref

exact match

https://scigraph.springernature.com/pub.10.1186/1752-0509-3-49

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cites work

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Horizontal gene transfer and the evolution of transcriptional regulation in Escherichia coli

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Analysis of a Gibbs sampler method for model-based clustering of gene expression data

20 June 2018

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Comparing association network algorithms for reverse engineering of large-scale gene regulatory networks: synthetic versus real data

20 June 2018

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Large-scale mapping and validation of Escherichia coli transcriptional regulation from a compendium of expression profiles

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Comprehensive analysis of combinatorial regulation using the transcriptional regulatory network of yeast

20 June 2018

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The Inferelator: an algorithm for learning parsimonious regulatory networks from systems-biology data sets de novo

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The incoherent feed-forward loop accelerates the response-time of the gal system of Escherichia coli

20 June 2018

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RegulonDB (version 5.0): Escherichia coli K-12 transcriptional regulatory network, operon organization, and growth conditions

20 June 2018

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After 30 years of study, the bacterial SOS response still surprises us

20 June 2018

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Reverse engineering of regulatory networks in human B cells

20 June 2018

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Chromosomal organization is shaped by the transcription regulatory network

20 June 2018

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Reconciling Gene Expression Data With Known Genome-Scale Regulatory Network Structures

20 June 2018

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Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data

20 June 2018

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20 June 2018

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Genomic expression programs in the response of yeast cells to environmental changes

20 June 2018

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Module networks revisited: computational assessment and prioritization of model predictions.

20 June 2018

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Discerning static and causal interactions in genome-wide reverse engineering problems.

26 November 2018

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Clustering of genes into regulons using integrated modeling-COGRIM.

26 November 2018

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Revealing modular organization in the yeast transcriptional network.

26 November 2018

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Identification of hypoxanthine and guanine as the co-repressors for the purine regulon genes of Escherichia coli.

26 November 2018

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26 November 2018

Identifiers

DOI

10.1186/1752-0509-3-49

1 reference

journals/bmcsb/MichoelSJPM09

14 November 2017

1 reference

1 reference

DBLP Dataset 2021-01-02

Dimensions Publication ID

28 January 2021

0 references

1 reference

14 November 2017

1 reference

PMCID

2684101