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Ricardo de Matos Simoes

Showing results (1-10 of 31) with videos related to

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Plos One|January 14, 2012
Influence of statistical estimators of mutual information and data heterogeneity on the inference of gene regulatory networksRicardo de Matos Simoes, Frank Emmert-Streib
Plos One|April 6, 2012
Bagging statistical network inference from large-scale gene expression dataRicardo de Matos Simoes, Frank Emmert-Streib
Biology Direct|December 12, 2012
Harnessing the complexity of gene expression data from cancer: from single gene to structural pathway methodsFrank Emmert-Streib, Shailesh Tripathi, Ricardo de Matos Simoes
BMC Genomics|May 14, 2013
Interfacing cellular networks of S. cerevisiae and E. coli: connecting dynamic and genetic informationRicardo de Matos Simoes, Matthias Dehmer, Frank Emmert-Streib
BMC Systems Biology|May 16, 2012
Organizational structure and the periphery of the gene regulatory network in B-cell lymphomaRicardo de Matos Simoes, Shailesh Tripathi, Frank Emmert-Streib
Frontiers in Genetics|January 1, 2014
B-cell lymphoma gene regulatory networks: biological consistency among inference methodsRicardo de Matos Simoes, Matthias Dehmer, Frank Emmert-Streib
Current Genomics|April 25, 2019
Prostate Cancer Gene Regulatory Network Inferred from RNA-Seq DataDaniel Moore, Ricardo de Matos Simoes, Matthias Dehmer, et al.
Frontiers in Genetics|March 13, 2012
Statistical inference and reverse engineering of gene regulatory networks from observational expression dataFrank Emmert-Streib, Galina V Glazko, Gökmen Altay, et al.
BMC Systems Biology|May 15, 2015
Urothelial cancer gene regulatory networks inferred from large-scale RNAseq, Bead and Oligo gene expression dataRicardo de Matos Simoes, Sabine Dalleau, Kate E Williamson, et al.
Scientific Reports|July 24, 2012
A Bayesian analysis of the chromosome architecture of human disorders by integrating reductionist dataFrank Emmert-Streib, Ricardo de Matos Simoes, Shailesh Tripathi, et al.
Pageof 4

Showing results (1-10 of 31) with videos related to

Sort By:
Pageof 4
Plos One|January 14, 2012
Influence of statistical estimators of mutual information and data heterogeneity on the inference of gene regulatory networksRicardo de Matos Simoes, Frank Emmert-Streib
Plos One|April 6, 2012
Bagging statistical network inference from large-scale gene expression dataRicardo de Matos Simoes, Frank Emmert-Streib
Biology Direct|December 12, 2012
Harnessing the complexity of gene expression data from cancer: from single gene to structural pathway methodsFrank Emmert-Streib, Shailesh Tripathi, Ricardo de Matos Simoes
BMC Genomics|May 14, 2013
Interfacing cellular networks of S. cerevisiae and E. coli: connecting dynamic and genetic informationRicardo de Matos Simoes, Matthias Dehmer, Frank Emmert-Streib
BMC Systems Biology|May 16, 2012
Organizational structure and the periphery of the gene regulatory network in B-cell lymphomaRicardo de Matos Simoes, Shailesh Tripathi, Frank Emmert-Streib
Frontiers in Genetics|January 1, 2014
B-cell lymphoma gene regulatory networks: biological consistency among inference methodsRicardo de Matos Simoes, Matthias Dehmer, Frank Emmert-Streib
Current Genomics|April 25, 2019
Prostate Cancer Gene Regulatory Network Inferred from RNA-Seq DataDaniel Moore, Ricardo de Matos Simoes, Matthias Dehmer, et al.
Frontiers in Genetics|March 13, 2012
Statistical inference and reverse engineering of gene regulatory networks from observational expression dataFrank Emmert-Streib, Galina V Glazko, Gökmen Altay, et al.
BMC Systems Biology|May 15, 2015
Urothelial cancer gene regulatory networks inferred from large-scale RNAseq, Bead and Oligo gene expression dataRicardo de Matos Simoes, Sabine Dalleau, Kate E Williamson, et al.
Scientific Reports|July 24, 2012
A Bayesian analysis of the chromosome architecture of human disorders by integrating reductionist dataFrank Emmert-Streib, Ricardo de Matos Simoes, Shailesh Tripathi, et al.
Pageof 4