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Together, these results provide an expression framework for understanding the roles of these cDNA sequences in feline physiology and pathology.
This statistical development opens new research possibilities within the gene expression framework, where heterogeneity in residual variability could be viewed as an alternative and plausible characterization of differential expression patterns.
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Should the cells learn how to measure relative expression or to amplify a gene with reflection of all observed changes (including the inclusion into appropriate expression frameworks)?
Hence, biclustering fits well into differential co-expression framework.
In this paper we propose to develop such a scoring function based on differential co-expression framework similar to that proposed by Kostka and Spang [ 17].
However, we are working on devising an algorithm based on the differential co-expression framework as it may find novel biclusters with strong differential co-expression.
Differential co-expression framework is useful to provide quantitative and objective assessment of the goodness of biclusters of co-expressed genes and performance of biclustering algorithms in identifying co-expression biclusters.
In this paper we propose differential co-expression framework and a differential co-expression scoring function to objectively quantify quality or goodness of a bicluster of genes based on the observation that genes in a bicluster are co-expressed in the conditions belonged to the bicluster and not co-expressed in the other conditions.
Using a regression-based gene expression modelling framework [ 4], we evaluated the accuracy of predicted RPKM-normalised transcript abundance compared to actual RNA-seq data genome-wide for H1-hESC, GM12878 and K562 cell lines.
The four biclustering algorithms evaluated using our differential co-expression scoring framework.
The university must therefore foster freedom of expression within a framework of robust civility".
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