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.

10.1186/s12859-015-0728-4 http://scihub22266oqcxt.onion/10.1186/s12859-015-0728-4 C4587916!4587916!26415849     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       BMC+Bioinformatics 2015 ; 16 (ä): ä Nephropedia Template TP {{tp|p=26415849|t=2015. NetBenchmark: a bioconductor package for reproducible benchmarks of gene regulatory network inference |pdf=|usr=}}{{26415849}} gab.com Text NetBenchmark: a bioconductor package for reproducible benchmarks of gene regulatory network inference JO: BMC Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=26415849 #FOAvip Background: In the last decade, a great number of methods for reconstructing gene regulatory networks from expression data have been proposed. However, very few tools and datasets allow to evaluate accurately and reproducibly those methods. Hence, we propose here a new tool, able to perform a systematic, yet fully reproducible, evaluation of transcriptional network inference methods. Results: Our open-source and freely available Bioconductor package aggregates a large set of tools to assess the robustness of network inference algorithms against different simulators, topologies, sample sizes and noise intensities. Conclusions: The benchmarking framework that uses various datasets highlights the specialization of some methods toward network types and data. As a result, it is possible to identify the techniques that have broad overall performances. Electronic supplementary material: The online version of this article (doi:10.1186/s12859-015-0728-4) contains supplementary material, which is available to authorized users. Twit Text FOAVip NetBenchmark: a bioconductor package for reproducible benchmarks of gene regulatory network inference ????BMC Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=26415849 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26415849 #FOAvip English Wikipedia <ref>{{Cite pmid|26415849}}</ref> NetBenchmark: a bioconductor package for reproducible benchmarks of gene regulatory network inference #MMPMID26415849 Bellot P; Olsen C; Salembier P; Oliveras-Vergés A; Meyer PE BMC Bioinformatics 2015[]; 16 (ä): ä PMID26415849show ga Background: In the last decade, a great number of methods for reconstructing gene regulatory networks from expression data have been proposed. However, very few tools and datasets allow to evaluate accurately and reproducibly those methods. Hence, we propose here a new tool, able to perform a systematic, yet fully reproducible, evaluation of transcriptional network inference methods. Results: Our open-source and freely available Bioconductor package aggregates a large set of tools to assess the robustness of network inference algorithms against different simulators, topologies, sample sizes and noise intensities. Conclusions: The benchmarking framework that uses various datasets highlights the specialization of some methods toward network types and data. As a result, it is possible to identify the techniques that have broad overall performances. Electronic supplementary material: The online version of this article (doi:10.1186/s12859-015-0728-4) contains supplementary material, which is available to authorized users. äNetBenchmark: a bioconductor package for reproducible benchmarks of ge(epmc).pdf DeepDyve Pubget Overpricing