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10.1186/1471-2105-15-154 http://scihub22266oqcxt.onion/10.1186/1471-2105-15-154 C4035752!4035752 !24885750     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\24885750 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       BMC+Bioinformatics 2014 ; 15 (ä): 154 Nephropedia Template TP {{tp|p=24885750 |t=2014. Combining calls from multiple somatic mutation-callers |pdf=|usr=}}{{24885750 }} gab.com Text Combining calls from multiple somatic mutation-callers JO: BMC Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=24885750 #FOAvip BACKGROUND: Accurate somatic mutation-calling is essential for insightful mutation analyses in cancer studies. Several mutation-callers are publicly available and more are likely to appear. Nonetheless, mutation-calling is still challenging and there is unlikely to be one established caller that systematically outperforms all others. Therefore, fully utilizing multiple callers can be a powerful way to construct a list of final calls for one's research. RESULTS: Using a set of mutations from multiple callers that are impartially validated, we present a statistical approach for building a combined caller, which can be applied to combine calls in a wider dataset generated using a similar protocol. Using the mutation outputs and the validation data from The Cancer Genome Atlas endometrial study (6,746 sites), we demonstrate how to build a statistical model that predicts the probability of each call being a somatic mutation, based on the detection status of multiple callers and a few associated features. CONCLUSION: The approach allows us to build a combined caller across the full range of stringency levels, which outperforms all of the individual callers. Twit Text FOAVip Combining calls from multiple somatic mutation-callers ????BMC Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=24885750 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=24885750 #FOAvip English Wikipedia <ref>{{Cite pmid|24885750 }}</ref> Combining calls from multiple somatic mutation-callers #MMPMID24885750 Kim SY ; Jacob L ; Speed TP BMC Bioinformatics 2014[May]; 15 (ä): 154 PMID24885750 show ga BACKGROUND: Accurate somatic mutation-calling is essential for insightful mutation analyses in cancer studies. Several mutation-callers are publicly available and more are likely to appear. Nonetheless, mutation-calling is still challenging and there is unlikely to be one established caller that systematically outperforms all others. Therefore, fully utilizing multiple callers can be a powerful way to construct a list of final calls for one's research. RESULTS: Using a set of mutations from multiple callers that are impartially validated, we present a statistical approach for building a combined caller, which can be applied to combine calls in a wider dataset generated using a similar protocol. Using the mutation outputs and the validation data from The Cancer Genome Atlas endometrial study (6,746 sites), we demonstrate how to build a statistical model that predicts the probability of each call being a somatic mutation, based on the detection status of multiple callers and a few associated features. CONCLUSION: The approach allows us to build a combined caller across the full range of stringency levels, which outperforms all of the individual callers. |DNA Mutational Analysis/*methods [MESH] |Endometrial Neoplasms/genetics [MESH] |Female [MESH] |Genome [MESH] |Genomics [MESH] |Humans [MESH] |Logistic Models [MESH] |Models, Statistical [MESH]Combining calls from multiple somatic mutation-callers (epmc).pdf DeepDyve Pubget Overpricing