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Francisco Azuaje

Showing results (31-40 of 87) with videos related to

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F1000Research|October 1, 2019
Analysis of correlation-based biomolecular networks from different omics data by fitting stochastic block modelsKatharina Baum, Jagath C Rajapakse, Francisco Azuaje
RNA (New York, N.Y.)|October 18, 2014
Databases for lncRNAs: a comparative evaluation of emerging toolsSabrina Fritah, Simone P Niclou, Francisco Azuaje
Bio Systems|January 19, 2010
Identification of potential targets in biological signalling systems through network perturbation analysisFrancisco Azuaje, Yvan Devaux, Daniel R Wagner
Cell Communication and Signaling : CCS|April 18, 2015
Therapeutic control and resistance of the EGFR-driven signaling network in glioblastomaFrancisco Azuaje, Katja Tiemann, Simone P Niclou
Plos One|March 20, 2010
Integrative pathway-centric modeling of ventricular dysfunction after myocardial infarctionFrancisco Azuaje, Yvan Devaux, Daniel R Wagner
Computers in Biology and Medicine|February 9, 2010
A knowledge-driven probabilistic framework for the prediction of protein-protein interaction networksFiona Browne, Haiying Wang, Huiru Zheng, et al.
BMC Bioinformatics|March 10, 2006
Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression dataHaiying Wang, Huiru Zheng, David Simpson, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
A Network-Based Embedding Method for Drug-Target Interaction PredictionPoorya Parvizi, Francisco Azuaje, Evropi Theodoratou, et al.
BMC Medical Informatics and Decision Making|May 9, 2003
A markup language for electrocardiogram data acquisition and analysis (ecgML)Haiying Wang, Francisco Azuaje, Benjamin Jung, et al.
Journal of Biomedical Informatics|February 15, 2011
Systems-based biological concordance and predictive reproducibility of gene set discovery methods in cardiovascular diseaseFrancisco Azuaje, Huiru Zheng, Anyela Camargo, et al.
Pageof 9

Showing results (31-40 of 87) with videos related to

Sort By:
Pageof 9
F1000Research|October 1, 2019
Analysis of correlation-based biomolecular networks from different omics data by fitting stochastic block modelsKatharina Baum, Jagath C Rajapakse, Francisco Azuaje
RNA (New York, N.Y.)|October 18, 2014
Databases for lncRNAs: a comparative evaluation of emerging toolsSabrina Fritah, Simone P Niclou, Francisco Azuaje
Bio Systems|January 19, 2010
Identification of potential targets in biological signalling systems through network perturbation analysisFrancisco Azuaje, Yvan Devaux, Daniel R Wagner
Cell Communication and Signaling : CCS|April 18, 2015
Therapeutic control and resistance of the EGFR-driven signaling network in glioblastomaFrancisco Azuaje, Katja Tiemann, Simone P Niclou
Plos One|March 20, 2010
Integrative pathway-centric modeling of ventricular dysfunction after myocardial infarctionFrancisco Azuaje, Yvan Devaux, Daniel R Wagner
Computers in Biology and Medicine|February 9, 2010
A knowledge-driven probabilistic framework for the prediction of protein-protein interaction networksFiona Browne, Haiying Wang, Huiru Zheng, et al.
BMC Bioinformatics|March 10, 2006
Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression dataHaiying Wang, Huiru Zheng, David Simpson, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
A Network-Based Embedding Method for Drug-Target Interaction PredictionPoorya Parvizi, Francisco Azuaje, Evropi Theodoratou, et al.
BMC Medical Informatics and Decision Making|May 9, 2003
A markup language for electrocardiogram data acquisition and analysis (ecgML)Haiying Wang, Francisco Azuaje, Benjamin Jung, et al.
Journal of Biomedical Informatics|February 15, 2011
Systems-based biological concordance and predictive reproducibility of gene set discovery methods in cardiovascular diseaseFrancisco Azuaje, Huiru Zheng, Anyela Camargo, et al.
Pageof 9