Use of "big data" in drug discovery and clinical trials.
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[1] D. Lindberg,et al. Building the Unified Medical Language System , 1989 .
[2] Steven J. M. Jones,et al. Integrated genomic characterization of endometrial carcinoma , 2013, Nature.
[3] J. Ross,et al. MammaPrint™ 70-gene signature: another milestone in personalized medical care for breast cancer patients , 2009, Expert review of molecular diagnostics.
[4] Jingyuan Fu,et al. Systems genetics: From GWAS to disease pathways. , 2014, Biochimica et biophysica acta.
[5] B. Monk,et al. The vaginal and gastrointestinal microbiomes in gynecologic cancers: a review of applications in etiology, symptoms and treatment. , 2015, Gynecologic oncology.
[6] Sungsam Gong,et al. MetaBase—the wiki-database of biological databases , 2011, Nucleic Acids Res..
[7] Stephen D. Wang,et al. Redefining big-data clinical trial (BCT). , 2014, Annals of translational medicine.
[8] Viju Raghupathi,et al. Big data analytics in healthcare: promise and potential , 2014, Health Information Science and Systems.
[9] Gary D. Bader,et al. Pathguide: a Pathway Resource List , 2005, Nucleic Acids Res..
[10] R. Iyengar,et al. Systems pharmacology: network analysis to identify multiscale mechanisms of drug action. , 2012, Annual review of pharmacology and toxicology.
[11] R Bellazzi,et al. Big Data and Biomedical Informatics: A Challenging Opportunity , 2014, Yearbook of Medical Informatics.
[12] Alex Bateman,et al. Databases, data tombs and dust in the wind , 2008, Bioinform..
[13] Kyung-Ah Sohn,et al. Integrative network analysis for survival-associated gene-gene interactions across multiple genomic profiles in ovarian cancer , 2015, Journal of Ovarian Research.
[14] A. Nobel,et al. Concordance among Gene-Expression – Based Predictors for Breast Cancer , 2011 .
[15] Min Zhao,et al. ECGene: A Literature‐Based Knowledgebase of Endometrial Cancer Genes , 2016, Human mutation.
[16] Euan A Ashley,et al. The precision medicine initiative: a new national effort. , 2015, JAMA.
[17] C. Creighton,et al. Reverse phase protein arrays in signaling pathways: a data integration perspective , 2015, Drug design, development and therapy.
[18] Benjamin J. Raphael,et al. Integrated Genomic Analyses of Ovarian Carcinoma , 2011, Nature.
[19] J. Lee,et al. An overview of the design and conduct of the BATTLE trials. , 2015, Chinese clinical oncology.
[20] Theodoros G. Soldatos,et al. Correction: Corrigendum: Src activation by β-adrenoreceptors is a key switch for tumour metastasis , 2013, Nature Communications.
[21] Thomas A Trikalinos,et al. The appropriateness of asymmetry tests for publication bias in meta-analyses: a large survey , 2007, Canadian Medical Association Journal.
[22] Sivanesan Dakshanamurthy,et al. Big data: the next frontier for innovation in therapeutics and healthcare , 2014, Expert review of clinical pharmacology.
[23] R. Altman,et al. Data-Driven Prediction of Drug Effects and Interactions , 2012, Science Translational Medicine.
[24] Naren Ramakrishnan,et al. Experiences with mining temporal event sequences from electronic medical records: initial successes and some challenges , 2011, KDD.
[25] Eytan Domany,et al. Outcome signature genes in breast cancer: is there a unique set? , 2004, Breast Cancer Research.
[26] I. Lipkus,et al. Treatment Choices Based on OncotypeDx in the Breast Oncology Care Setting , 2012, Journal of cancer epidemiology.
[27] Avi Ma'ayan,et al. Lean Big Data integration in systems biology and systems pharmacology. , 2014, Trends in pharmacological sciences.
[28] David B Jackson,et al. Src activation by β-adrenoreceptors is a key switch for tumor metastasis , 2012, Nature Communications.
[29] Steven J. M. Jones,et al. Comprehensive molecular portraits of human breast tumors , 2012, Nature.
[30] H. Goldstein,et al. Evaluating bias due to data linkage error in electronic healthcare records , 2014, BMC Medical Research Methodology.
[31] K. Bretonnel Cohen,et al. Text mining and manual curation of chemical-gene-disease networks for the Comparative Toxicogenomics Database (CTD) , 2009, BMC Bioinformatics.
[32] David B Jackson,et al. Genetic determinants of anticancer drug activity: towards a global approach to personalized cancer medicine , 2011, Expert review of molecular diagnostics.
[33] Rui Chen,et al. Promise of personalized omics to precision medicine , 2013, Wiley interdisciplinary reviews. Systems biology and medicine.
[34] Zhiwei Wang,et al. Forkhead box M1 transcription factor: a novel target for cancer therapy. , 2010, Cancer treatment reviews.
[35] Olivier Bodenreider. Using SNOMED CT in combination with MedDRA for reporting signal detection and adverse drug reactions reporting , 2009, AMIA.
[36] L. Hood,et al. P4 medicine: how systems medicine will transform the healthcare sector and society. , 2013, Personalized medicine.
[37] David Haussler,et al. Inference of patient-specific pathway activities from multi-dimensional cancer genomics data using PARADIGM , 2010, Bioinform..
[38] David F. Horrobin,et al. Modern biomedical research: an internally self-consistent universe with little contact with medical reality? , 2003, Nature Reviews Drug Discovery.
[39] R. Costa,et al. Chk2 Mediates Stabilization of the FoxM1 Transcription Factor To Stimulate Expression of DNA Repair Genes , 2006, Molecular and Cellular Biology.
[40] Qingyang Zhang,et al. Integrative network analysis of TCGA data for ovarian cancer , 2014, BMC Systems Biology.
[41] Griffin M. Weber,et al. Serving the enterprise and beyond with informatics for integrating biology and the bedside (i2b2) , 2010, J. Am. Medical Informatics Assoc..
[42] C. Ré,et al. A Machine Reading System for Assembling Synthetic Paleontological Databases , 2014, PloS one.
[43] Fabrizio De Ponti,et al. Data Mining Techniques in Pharmacovigilance: Analysis of the Publicly Accessible FDA Adverse Event Reporting System (AERS) , 2012 .