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10.1089/cmb.2015.0023 http://scihub22266oqcxt.onion/10.1089/cmb.2015.0023 C4642823!4642823!26204477     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       J+Comput+Biol 2015 ; 22 (11): 988-96 Nephropedia Template TP {{tp|p=26204477|t=2015. Comparison of Analytic Methods for Quantitative Real-Time Polymerase Chain Reaction Data |pdf=|usr=}}{{26204477}} gab.com Text Comparison of Analytic Methods for Quantitative Real-Time Polymerase Chain Reaction Data JO: J Comput Biol http://www.kidney.de/pget.php?&tw=1&pmid=26204477 #FOAvip Polymerase chain reaction (PCR) is a laboratory procedure to amplify and simultaneously quantify targeted DNA molecules, and then detect the product of the reaction at the end of all the amplification cycles. A more modern technique, real-time PCR, also known as quantitative PCR (qPCR), detects the product after each cycle of the progressing reaction by applying a specific fluorescence technique. The quantitative methods currently used to analyze qPCR data result in varying levels of estimation quality. This study compares the accuracy and precision of the estimation achieved by eight different models when applied to the same qPCR dataset. Also, the study evaluates a newly introduced data preprocessing approach, the taking-the-difference approach, and compares it to the currently used approach of subtracting the background fluorescence. The taking-the-difference method subtracts the fluorescence in the former cycle from that in the latter cycle to avoid estimating the background fluorescence. The results obtained from the eight models show that taking-the-difference is a better way to preprocess qPCR data compared to the original approach because of a reduction in the background estimation error. The results also show that weighted models are better than non-weighted models, and that the precision of the estimation achieved by the mixed models is slightly better than that achieved by the linear regression models. Twit Text FOAVip Comparison of Analytic Methods for Quantitative Real-Time Polymerase Chain Reaction Data ????J Comput Biol http://www.kidney.de/pget.php?&tw=1&pmid=26204477 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26204477 #FOAvip English Wikipedia <ref>{{Cite pmid|26204477}}</ref> Comparison of Analytic Methods for Quantitative Real-Time Polymerase Chain Reaction Data #MMPMID26204477 Chen P; Huang X J Comput Biol 2015[Nov]; 22 (11): 988-96 PMID26204477show ga Polymerase chain reaction (PCR) is a laboratory procedure to amplify and simultaneously quantify targeted DNA molecules, and then detect the product of the reaction at the end of all the amplification cycles. A more modern technique, real-time PCR, also known as quantitative PCR (qPCR), detects the product after each cycle of the progressing reaction by applying a specific fluorescence technique. The quantitative methods currently used to analyze qPCR data result in varying levels of estimation quality. This study compares the accuracy and precision of the estimation achieved by eight different models when applied to the same qPCR dataset. Also, the study evaluates a newly introduced data preprocessing approach, the taking-the-difference approach, and compares it to the currently used approach of subtracting the background fluorescence. The taking-the-difference method subtracts the fluorescence in the former cycle from that in the latter cycle to avoid estimating the background fluorescence. The results obtained from the eight models show that taking-the-difference is a better way to preprocess qPCR data compared to the original approach because of a reduction in the background estimation error. The results also show that weighted models are better than non-weighted models, and that the precision of the estimation achieved by the mixed models is slightly better than that achieved by the linear regression models. äComparison of Analytic Methods for Quantitative Real-Time Polymerase C(epmc).pdf DeepDyve Pubget Overpricing