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.

10.1093/bioinformatics/btw695 http://scihub22266oqcxt.onion/10.1093/bioinformatics/btw695 C6041978!6041978 !27993773     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=27993773 &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 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\27993773 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Bioinformatics 2017 ; 33 (4 ): 612-614 Nephropedia Template TP {{tp|p=27993773 |t=2017. EGAD: ultra-fast functional analysis of gene networks |pdf=|usr=}}{{27993773 }} gab.com Text EGAD: ultra-fast functional analysis of gene networks JO: Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=27993773 #FOAvip SUMMARY: Evaluating gene networks with respect to known biology is a common task but often a computationally costly one. Many computational experiments are difficult to apply exhaustively in network analysis due to run-times. To permit high-throughput analysis of gene networks, we have implemented a set of very efficient tools to calculate functional properties in networks based on guilt-by-association methods. ( xtending ' uilt-by- ssociation' by egree) allows gene networks to be evaluated with respect to hundreds or thousands of gene sets. The methods predict novel members of gene groups, assess how well a gene network groups known sets of genes, and determines the degree to which generic predictions drive performance. By allowing fast evaluations, whether of random sets or real functional ones, provides the user with an assessment of performance which can easily be used in controlled evaluations across many parameters. AVAILABILITY AND IMPLEMENTATION: The software package is freely available at https://github.com/sarbal/EGAD and implemented for use in R and Matlab. The package is also freely available under the LGPL license from the Bioconductor web site ( http://bioconductor.org ). CONTACT: JGillis@cshl.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Twit Text FOAVip EGAD: ultra-fast functional analysis of gene networks ????Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=27993773 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27993773 #FOAvip English Wikipedia <ref>{{Cite pmid|27993773 }}</ref> EGAD: ultra-fast functional analysis of gene networks #MMPMID27993773 Ballouz S ; Weber M ; Pavlidis P ; Gillis J Bioinformatics 2017[Feb]; 33 (4 ): 612-614 PMID27993773 show ga SUMMARY: Evaluating gene networks with respect to known biology is a common task but often a computationally costly one. Many computational experiments are difficult to apply exhaustively in network analysis due to run-times. To permit high-throughput analysis of gene networks, we have implemented a set of very efficient tools to calculate functional properties in networks based on guilt-by-association methods. ( xtending ' uilt-by- ssociation' by egree) allows gene networks to be evaluated with respect to hundreds or thousands of gene sets. The methods predict novel members of gene groups, assess how well a gene network groups known sets of genes, and determines the degree to which generic predictions drive performance. By allowing fast evaluations, whether of random sets or real functional ones, provides the user with an assessment of performance which can easily be used in controlled evaluations across many parameters. AVAILABILITY AND IMPLEMENTATION: The software package is freely available at https://github.com/sarbal/EGAD and implemented for use in R and Matlab. The package is also freely available under the LGPL license from the Bioconductor web site ( http://bioconductor.org ). CONTACT: JGillis@cshl.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |*Gene Regulatory Networks [MESH] |*Software [MESH] |Animals [MESH] |Computational Biology/*methods [MESH] |Humans [MESH]EGAD: ultra-fast functional analysis of gene networks (epmc).pdf DeepDyve Pubget Overpricing