DREAM4: Combining genetic and dynamic information to identify biological networks and dynamical models (Q33737739)

29 July 2017

DREAM4: Combining genetic and dynamic information to identify biological networks and dynamical models (English)

1 reference

29 July 2017

4

Richard Bonneau

1 reference

29 July 2017

Alex Greenfield

1

1 reference

29 July 2017

Aviv Madar

series ordinal

2

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29 July 2017

Harry Ostrer

series ordinal

3

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29 July 2017

language of work or name

English

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publication date

25 October 2010

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29 July 2017

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29 July 2017

5

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29 July 2017

10

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29 July 2017

e13397

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Creative Commons Attribution 4.0 International

29 July 2017

start time

25 October 2010

1 reference

April 2022 Public Data File from Crossref

copyright status

copyrighted

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cites work

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21 June 2018

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Towards a rigorous assessment of systems biology models: the DREAM3 challenges

21 June 2018

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21 June 2018

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Reconstructing nonlinear dynamic models of gene regulation using stochastic sampling

21 June 2018

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Reverse engineering and verification of gene networks: principles, assumptions, and limitations of present methods and future perspectives.

21 June 2018

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Combining multiple results of a reverse-engineering algorithm: application to the DREAM five-gene network challenge

21 June 2018

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Gaussian process regression bootstrapping: exploring the effects of uncertainty in time course data

21 June 2018

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Benchmarking regulatory network reconstruction with GRENDEL.

21 June 2018

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Gene regulatory network inference: data integration in dynamic models-a review

21 June 2018

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Learning biological networks: from modules to dynamics

21 June 2018

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Gene regulatory network reconstruction using conditional mutual information

21 June 2018

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RegulonDB (version 6.0): gene regulation model of Escherichia coli K-12 beyond transcription, active (experimental) annotated promoters and Textpresso navigation.

21 June 2018

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Genome-wide mapping of in vivo protein-DNA interactions

21 June 2018

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General transcription factor specified global gene regulation in archaea

21 June 2018

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How to infer gene networks from expression profiles

21 June 2018

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

21 June 2018

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Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks

21 June 2018

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ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context

21 June 2018

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

21 June 2018

1 reference

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Inference of gene regulatory networks and compound mode of action from time course gene expression profiles

21 June 2018

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Least absolute regression network analysis of the murine osteoblast differentiation network

21 June 2018

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Reverse engineering of regulatory networks in human B cells

21 June 2018

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Chemogenomic profiling on a genome-wide scale using reverse-engineered gene networks

21 June 2018

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Artificial gene networks for objective comparison of analysis algorithms

21 June 2018

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Inferring genetic networks and identifying compound mode of action via expression profiling

21 June 2018

1 reference

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Iterative signature algorithm for the analysis of large-scale gene expression data

21 June 2018

1 reference

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Influence of network topology and data collection on network inference

21 June 2018

1 reference

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TRANSFAC: transcriptional regulation, from patterns to profiles

21 June 2018

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Transcriptional regulatory networks in Saccharomyces cerevisiae

21 June 2018

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Discovering statistically significant biclusters in gene expression data

21 June 2018

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ChIP-chip: a genomic approach for identifying transcription factor binding sites

21 June 2018

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Bootstrapping cluster analysis: assessing the reliability of conclusions from microarray experiments

21 June 2018

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Genetic network inference: from co-expression clustering to reverse engineering

21 June 2018

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Mutual information relevance networks: functional genomic clustering using pairwise entropy measurements

21 June 2018

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Cluster analysis and display of genome-wide expression patterns

21 June 2018

1 reference

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Generating realistic in silico gene networks for performance assessment of reverse engineering methods

21 June 2018

1 reference

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A yeast synthetic network for in vivo assessment of reverse-engineering and modeling approaches

21 January 2018

1 reference

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ChIP-seq: welcome to the new frontier

21 January 2018

1 reference

https://api.crossref.org/works/10.1371%2FJOURNAL.PONE.0013397

ChIP-Seq data reveal nucleosome architecture of human promoters.

21 January 2018

1 reference

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A Mathematical Theory of Communication

21 January 2018

1 reference

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A predictive model for transcriptional control of physiology in a free living cell.

21 January 2018

1 reference

https://api.crossref.org/works/10.1371%2FJOURNAL.PONE.0013397

The Inferelator 2.0: a scalable framework for reconstruction of dynamic regulatory network models.

21 January 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2963605

Revealing modular organization in the yeast transcriptional network.

30 October 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2963605

10.1371/JOURNAL.PONE.0013397

30 October 2018

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29 July 2017

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29 July 2017

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