Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1038/sdata.2017.125 http://scihub22266oqcxt.onion/10.1038/sdata.2017.125 C5604135!5604135!28925997     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=28925997&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 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Data 2017 ; 4 (ä): ä Nephropedia Template TP {{tp|p=28925997|t=2017. Precision annotation of digital samples in NCBI?s gene expression omnibus |pdf=|usr=}}{{28925997}} gab.com Text Precision annotation of digital samples in NCBI s gene expression omnibus JO: Sci Data http://www.kidney.de/pget.php?&tw=1&pmid=28925997 #FOAvip The Gene Expression Omnibus (GEO) contains more than two million digital samples from functional genomics experiments amassed over almost two decades. However, individual sample meta-data remains poorly described by unstructured free text attributes preventing its largescale reanalysis. We introduce the Search Tag Analyze Resource for GEO as a web application (http://STARGEO.org) to curate better annotations of sample phenotypes uniformly across different studies, and to use these sample annotations to define robust genomic signatures of disease pathology by meta-analysis. In this paper, we target a small group of biomedical graduate students to show rapid crowd-curation of precise sample annotations across all phenotypes, and we demonstrate the biological validity of these crowd-curated annotations for breast cancer. STARGEO.org makes GEO data findable, accessible, interoperable and reusable (i.e., FAIR) to ultimately facilitate knowledge discovery. Our work demonstrates the utility of crowd-curation and interpretation of open ?big data? under FAIR principles as a first step towards realizing an ideal paradigm of precision medicine. Twit Text FOAVip Precision annotation of digital samples in NCBI s gene expression omnibus ????Sci Data http://www.kidney.de/pget.php?&tw=1&pmid=28925997 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28925997 #FOAvip English Wikipedia <ref>{{Cite pmid|28925997}}</ref> Precision annotation of digital samples in NCBI?s gene expression omnibus #MMPMID28925997 Hadley D; Pan J; El-Sayed O; Aljabban J; Aljabban I; Azad TD; Hadied MO; Raza S; Rayikanti BA; Chen B; Paik H; Aran D; Spatz J; Himmelstein D; Panahiazar M; Bhattacharya S; Sirota M; Musen MA; Butte AJ Sci Data 2017[]; 4 (ä): ä PMID28925997show ga The Gene Expression Omnibus (GEO) contains more than two million digital samples from functional genomics experiments amassed over almost two decades. However, individual sample meta-data remains poorly described by unstructured free text attributes preventing its largescale reanalysis. We introduce the Search Tag Analyze Resource for GEO as a web application (http://STARGEO.org) to curate better annotations of sample phenotypes uniformly across different studies, and to use these sample annotations to define robust genomic signatures of disease pathology by meta-analysis. In this paper, we target a small group of biomedical graduate students to show rapid crowd-curation of precise sample annotations across all phenotypes, and we demonstrate the biological validity of these crowd-curated annotations for breast cancer. STARGEO.org makes GEO data findable, accessible, interoperable and reusable (i.e., FAIR) to ultimately facilitate knowledge discovery. Our work demonstrates the utility of crowd-curation and interpretation of open ?big data? under FAIR principles as a first step towards realizing an ideal paradigm of precision medicine. äPrecision annotation of digital samples in NCBI?s gene expression omni(epmc).pdf DeepDyve Pubget Overpricing