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10.1186/s12859-015-0634-9 http://scihub22266oqcxt.onion/10.1186/s12859-015-0634-9 C4472167!4472167!26084333     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 251.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 251.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 251.2 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=26084333|t=2015. Alignment of time course gene expression data and the classification of developmentally driven genes with hidden Markov models |pdf=|usr=}}{{26084333}} gab.com Text Alignment of time course gene expression data and the classification of developmentally driven genes with hidden Markov models JO: BMC Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=26084333 #FOAvip Background: We consider data from a time course microarray experiment that was conducted on grapevines over the development cycle of the grape berries at two different vineyards in South Australia. Although the underlying biological process of berry development is the same at both vineyards, there are differences in the timing of the development due to local conditions. We aim to align the data from the two vineyards to enable an integrated analysis of the gene expression and use the alignment of the expression profiles to classify likely developmental function. Results: We present a novel alignment method based on hidden Markov models (HMMs) and use the method to align the motivating grapevine data. We show that our alignment method is robust against subsets of profiles that are not suitable for alignment, investigate alignment diagnostics under the model and demonstrate the classification of developmentally driven genes. Conclusions: The classification of developmentally driven genes both validates that the alignment we obtain is meaningful and also gives new evidence that can be used to identify the role of genes with unknown function. Using our alignment methodology, we find at least 1279 grapevine probe sets with no current annotated function that are likely to be controlled in a developmental manner. Electronic supplementary material: The online version of this article (doi:10.1186/s12859-015-0634-9) contains supplementary material, which is available to authorized users. Twit Text FOAVip Alignment of time course gene expression data and the classification of developmentally driven genes with hidden Markov models ????BMC Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=26084333 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26084333 #FOAvip English Wikipedia <ref>{{Cite pmid|26084333}}</ref> Alignment of time course gene expression data and the classification of developmentally driven genes with hidden Markov models #MMPMID26084333 Robinson S; Glonek G; Koch I; Thomas M; Davies C BMC Bioinformatics 2015[]; 16 (ä): ä PMID26084333show ga Background: We consider data from a time course microarray experiment that was conducted on grapevines over the development cycle of the grape berries at two different vineyards in South Australia. Although the underlying biological process of berry development is the same at both vineyards, there are differences in the timing of the development due to local conditions. We aim to align the data from the two vineyards to enable an integrated analysis of the gene expression and use the alignment of the expression profiles to classify likely developmental function. Results: We present a novel alignment method based on hidden Markov models (HMMs) and use the method to align the motivating grapevine data. We show that our alignment method is robust against subsets of profiles that are not suitable for alignment, investigate alignment diagnostics under the model and demonstrate the classification of developmentally driven genes. Conclusions: The classification of developmentally driven genes both validates that the alignment we obtain is meaningful and also gives new evidence that can be used to identify the role of genes with unknown function. Using our alignment methodology, we find at least 1279 grapevine probe sets with no current annotated function that are likely to be controlled in a developmental manner. Electronic supplementary material: The online version of this article (doi:10.1186/s12859-015-0634-9) contains supplementary material, which is available to authorized users. äAlignment of time course gene expression data and the classification o(epmc).pdf DeepDyve Pubget Overpricing