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Reverse engineering biomolecular systems using -omic data: challenges, progress and opportunities.

, , , , , , and . Briefings Bioinform., 13 (4): 430-445 (2012)

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Reverse engineering biomolecular systems using -omic data: challenges, progress and opportunities., , , , , , and . Briefings Bioinform., 13 (4): 430-445 (2012)Review of Systems Biology Simulation Tools for Translational Research., , , and . BIBE, page 358-365. IEEE Computer Society, (2007)Multivariate Hypergeometric Similarity Measure., , and . IEEE ACM Trans. Comput. Biol. Bioinform., 10 (6): 1505-1516 (2013)Multivariate hypergeometric similarity measure., , and . BCB, page 234-241. ACM, (2012)Hypergeometric Similarity Measure for Spatial Analysis in Tissue Imaging Mass Spectrometry., , and . BIBM, page 604-607. IEEE Computer Society, (2011)A robust computational pipeline for model-based and data-driven phenotype clustering., , , , , , , , and . Bioinform., 37 (9): 1269-1277 (2021)-Omic and Electronic Health Record Big Data Analytics for Precision Medicine., , , , , and . IEEE Trans. Biomed. Eng., 64 (2): 263-273 (2017)Comparison of clustering pipelines for the analysis of mass spectrometry imaging data., , , , and . EMBC, page 4771-4774. IEEE, (2014)Models for Predicting Stage in Head and Neck Squamous Cell Carcinoma Using Proteomic and Transcriptomic Data., and . IEEE J. Biomed. Health Informatics, 21 (1): 246-253 (2017)Mathematical Models for Data Mining and System Dynamics to Study Head and Neck Cancer Progression and Chemoprevention.. Georgia Institute of Technology, Atlanta, GA, USA, (2017)base-search.net (ftgeorgiatech:oai:smartech.gatech.edu:1853/58558).