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Assessment of network perturbation amplitudes by applying high-throughput data to causal biological networks.

F. Martin, T. Thomson, A. Sewer, D. Drubin, C. Mathis, D. Weisensee, D. Pratt, J. Hoeng, and M. Peitsch. BMC Systems Biology, (2012)

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Causal biological network database: a comprehensive platform of causal biological network models focused on the pulmonary and vascular systems.S. Boué, M. Talikka, J. Westra, W. Hayes, A. Fabio, J. Park, W. Schlage, A. Sewer, B. Fields, S. Ansari and 5 other author(s). Database, (2015)The systems toxicology challenge: how to leverage omics data to predict mechanisms of toxicity?N. Ivanov, C. Poussin, S. Boué, F. Martin, A. Sewer, B. Titz, M. Peitsch, and J. Hoeng. BCB, page 487. ACM, (2015)Quantification of biological network perturbations for mechanistic insight and diagnostics using two-layer causal models.F. Martin, A. Sewer, M. Talikka, Y. Xiang, J. Hoeng, and M. Peitsch. BMC Bioinformatics, (2014)Identification of clustered microRNAs using an ab initio prediction method.A. Sewer, N. Paul, P. Landgraf, A. Aravin, S. Pfeffer, M. Brownstein, T. Tuschl, E. van Nimwegen, and M. Zavolan. BMC Bioinformatics, (2005)Assessment of network perturbation amplitudes by applying high-throughput data to causal biological networks.F. Martin, T. Thomson, A. Sewer, D. Drubin, C. Mathis, D. Weisensee, D. Pratt, J. Hoeng, and M. Peitsch. BMC Systems Biology, (2012)

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Disambiguation of "Sewer, Alain"

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Assessment of network perturbation amplitudes by applying high-throughput data to causal biological networks.

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Disambiguation of "Sewer, Alain"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Assessment of network perturbation amplitudes by applying high-throughput data to causal biological networks.

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Assessment of network perturbation amplitudes by applying high-throughput data to causal biological networks.