Relevance of different prior knowledge sources for inferring gene interaction networks.

about

Data- and knowledge-based modeling of gene regulatory networks: an update.Integrating phenotypic small-molecule profiling and human genetics: the next phase in drug discovery.Quantitative assessment and validation of network inference methods in bioinformatics.

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P2860

Relevance of different prior knowledge sources for inferring gene interaction networks.

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Relevance of different prior knowledge sources for inferring gene interaction networks.

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Relevance of different prior knowledge sources for inferring gene interaction networks.

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Relevance of different prior knowledge sources for inferring gene interaction networks.

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Relevance of different prior knowledge sources for inferring gene interaction networks.

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Catharina Olsen

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P2860

GeneMANIA: a real-time multiple association network integration algorithm for predicting gene function

NCBI GEO: mining millions of expression profiles--database and tools

Network biology: understanding the cell's functional organization

Network medicine: a network-based approach to human disease

Oncogenic pathway signatures in human cancers as a guide to targeted therapies

Inference and validation of predictive gene networks from biomedical literature and gene expression data.

Minimum redundancy feature selection from microarray gene expression data.

Seeded Bayesian Networks: constructing genetic networks from microarray data.

Metastasis-Associated Gene Expression Changes Predict Poor Outcomes in Patients with Dukes Stage B and C Colorectal Cancer

Bioinformatics challenges for personalized medicine

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10.3389/FGENE.2014.00177

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Relevance of different prior knowledge sources for inferring gene interaction networks.

about

P2860

P2860

Relevance of different prior knowledge sources for inferring gene interaction networks.

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