MulCom: a Multiple Comparison statistical test for microarray

title: "MulCom: a Multiple Comparison statistical test for microarray" author: "Claudio Isella, Tommaso Renzulli, Davide Coraand Enzo Medico" date: "r format(Sys.Date(), '%m/%d/%Y')`" abstract: > Many microarray experiments compare a common control group with several "test" groups, like in the case , for example of a time-course experiments where time zero serves as a common reference point. The MulCom package described here implements the Dunnett's t-test, which has been specifically developed to handle multiple comparisons against a common reference, in a version tailored for genomic data analysis that we named MulCom (Multiple Comparisons) test. The implementation includes two test parameters, namely the t value and an optional minimal fold-change value, m, with automated, permutation-based estimation of False Discovery Rate (FDR) for parameter combinations of choice.

The package permits automated optimization of the test parameters to obtain the maximum number of significant genes at a given FDR value. In this vignette we present the rationale, implementation and usage of the MulCom package, plus a practical application on a time-course microarray experiment. Mulcom package version: r packageVersion("Mulcom") output: rmarkdown::html_document: highlight: pygments toc: true fig_width: 5

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Mulcom documentation built on Nov. 8, 2020, 5:53 p.m.