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10.1002/jcp.24662 http://scihub22266oqcxt.onion/10.1002/jcp.24662 C5604462!5604462!24799088     free     free     free       J+Cell+Physiol 2014 ; 229 (12): 1896-900 Nephropedia Template TP {{tp|p=24799088|t=2014. Big Data Bioinformatics |pdf=|usr=}}{{24799088}} gab.com Text Big Data Bioinformatics JO: J Cell Physiol http://www.kidney.de/pget.php?&tw=1&pmid=24799088 #FOAvip Recent technological advances allow for high throughput profiling of biological systems in a cost-efficient manner. The low cost of data generation is leading us to the ?big data? era. The availability of big data provides unprecedented opportunities but also raises new challenges for data mining and analysis. In this review, we introduce key concepts in the analysis of big data, including both ?machine learning? algorithms as well as ?unsupervised? and ?supervised? examples of each. We note packages for the R programming language that are available to perform machine learning analyses. In addition to programming based solutions, we review webservers that allow users with limited or no programming background to perform these analyses on large data compendia. Twit Text FOAVip Big Data Bioinformatics ????J Cell Physiol http://www.kidney.de/pget.php?&tw=1&pmid=24799088 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=24799088 #FOAvip English Wikipedia <ref>{{Cite pmid|24799088}}</ref> Big Data Bioinformatics #MMPMID24799088 GREENE CS; TAN J; UNG M; MOORE JH; CHENG C J Cell Physiol 2014[Dec]; 229 (12): 1896-900 PMID24799088show ga Recent technological advances allow for high throughput profiling of biological systems in a cost-efficient manner. The low cost of data generation is leading us to the ?big data? era. The availability of big data provides unprecedented opportunities but also raises new challenges for data mining and analysis. In this review, we introduce key concepts in the analysis of big data, including both ?machine learning? algorithms as well as ?unsupervised? and ?supervised? examples of each. We note packages for the R programming language that are available to perform machine learning analyses. In addition to programming based solutions, we review webservers that allow users with limited or no programming background to perform these analyses on large data compendia. äBig Data Bioinformatics (epmc).pdf DeepDyve Pubget Overpricing