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10.1093/jamia/ocv077 http://scihub22266oqcxt.onion/10.1093/jamia/ocv077 C5009918!5009918!26198305     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26198305&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Am+Med+Inform+Assoc 2015 ; 22 (6): 1126-31 Nephropedia Template TP {{tp|p=26198305|t=2015. Big biomedical data as the key resource for discovery science |pdf=|usr=}}{{26198305}} gab.com Text Big biomedical data as the key resource for discovery science JO: J Am Med Inform Assoc http://www.kidney.de/pget.php?&tw=1&pmid=26198305 #FOAvip Modern biomedical data collection is generating exponentially more data in a multitude of formats. This flood of complex data poses significant opportunities to discover and understand the critical interplay among such diverse domains as genomics, proteomics, metabolomics, and phenomics, including imaging, biometrics, and clinical data. The Big Data for Discovery Science Center is taking an ?-ome to home? approach to discover linkages between these disparate data sources by mining existing databases of proteomic and genomic data, brain images, and clinical assessments. In support of this work, the authors developed new technological capabilities that make it easy for researchers to manage, aggregate, manipulate, integrate, and model large amounts of distributed data. Guided by biological domain expertise, the Center?s computational resources and software will reveal relationships and patterns, aiding researchers in identifying biomarkers for the most confounding conditions and diseases, such as Parkinson?s and Alzheimer?s. Twit Text FOAVip Big biomedical data as the key resource for discovery science ????J Am Med Inform Assoc http://www.kidney.de/pget.php?&tw=1&pmid=26198305 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26198305 #FOAvip English Wikipedia <ref>{{Cite pmid|26198305}}</ref> Big biomedical data as the key resource for discovery science #MMPMID26198305 Toga AW; Foster I; Kesselman C; Madduri R; Chard K; Deutsch EW; Price ND; Glusman G; Heavner BD; Dinov ID; Ames J; Van Horn J; Kramer R; Hood L J Am Med Inform Assoc 2015[Nov]; 22 (6): 1126-31 PMID26198305show ga Modern biomedical data collection is generating exponentially more data in a multitude of formats. This flood of complex data poses significant opportunities to discover and understand the critical interplay among such diverse domains as genomics, proteomics, metabolomics, and phenomics, including imaging, biometrics, and clinical data. The Big Data for Discovery Science Center is taking an ?-ome to home? approach to discover linkages between these disparate data sources by mining existing databases of proteomic and genomic data, brain images, and clinical assessments. In support of this work, the authors developed new technological capabilities that make it easy for researchers to manage, aggregate, manipulate, integrate, and model large amounts of distributed data. Guided by biological domain expertise, the Center?s computational resources and software will reveal relationships and patterns, aiding researchers in identifying biomarkers for the most confounding conditions and diseases, such as Parkinson?s and Alzheimer?s. äBig biomedical data as the key resource for discovery science (epmc).pdf DeepDyve Pubget Overpricing