A model for gene deregulation detection using expression data.

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A model for gene deregulation detection using expression data.

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2015 nî lūn-bûn

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A model for gene deregulation detection using expression data.

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A model for gene deregulation detection using expression data.

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A model for gene deregulation detection using expression data.

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A model for gene deregulation detection using expression data.

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A model for gene deregulation detection using expression data.

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A model for gene deregulation detection using expression data.

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P1476

A model for gene deregulation detection using expression data

@en

P2093

Etienne Birmelé

http://www.w3.org/2001/XMLSchema#string

Thomas Picchetti

http://www.w3.org/2001/XMLSchema#string

P2860

Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Identifying regulational alterations in gene regulatory networks by state space representation of vector autoregressive models and variational annealing.

LICORN: learning cooperative regulation networks from gene expression data.

BioQuali Cytoscape plugin: analysing the global consistency of regulatory networks

DR-Integrator: a new analytic tool for integrating DNA copy number and gene expression data.

Inference of patient-specific pathway activities from multi-dimensional cancer genomics data using PARADIGM.

Constructing logical models of gene regulatory networks by integrating transcription factor-DNA interactions with expression data: an entropy-based approach.

Microarray analysis reveals a major direct role of DNA copy number alteration in the transcriptional program of human breast tumors.

TIGRESS: Trustful Inference of Gene REgulation using Stability Selection.

Recurrent somatic mutations in regulatory regions of human cancer genomes

P2888

1752-0509-9-s6-s6

P304

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P31

scholarly article

P356

10.1186/1752-0509-9-S6-S6

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P478

9 Suppl 6

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P50

P577

2015-12-09T00:00:00Z

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P6179

1036955906

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P698

26679516

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P818

1505.05705

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P932

4674863

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