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Recent advances in tissue microarray technology have allowed immuno-histochemistry to become a powerful medium-to-high throughput analysis tool, particularly for the validation of diagnostic and progn...
Time course data obtained from biological samples subject to specific treatments can be very useful for revealing complex and novel biological phenomena. Although an increasing number of time course...
A major challenge to the statistical analysis of microarray data is the small number of samples limited by both cost and sample availability compared to the large number of genes, now soaring into t...
This paper proposes a new multi-class support vector machine for simultaneous gene selection and microarray classification. Combining the huberized hinge loss function and the elastic net penalty, the...
In this paper we derive one- and two-sample multivariate empirical Bayes statistics (the MB-statistics) to rank genes in order of interest from longitudinal replicated developmental microarray time ...
The rapid progression of farm animal genomics has introduced novel technologies capable of presenting global descriptions of biological systems at the level of gene and protein expression and protein ...

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