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[ Källkod: r-bioc-multtest  ]

Paket: r-bioc-multtest (2.54.0-1)

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Bioconductor resampling-based multiple hypothesis testing

Non-parametric bootstrap and permutation resampling-based multiple testing procedures (including empirical Bayes methods) for controlling the family-wise error rate (FWER), generalized family-wise error rate (gFWER), tail probability of the proportion of false positives (TPPFP), and false discovery rate (FDR). Several choices of bootstrap-based null distribution are implemented (centered, centered and scaled, quantile-transformed). Single-step and step-wise methods are available. Tests based on a variety of t- and F-statistics (including t-statistics based on regression parameters from linear and survival models as well as those based on correlation parameters) are included. When probing hypotheses with t-statistics, users may also select a potentially faster null distribution which is multivariate normal with mean zero and variance covariance matrix derived from the vector influence function. Results are reported in terms of adjusted p-values, confidence regions and test statistic cutoffs. The procedures are directly applicable to identifying differentially expressed genes in DNA microarray experiments.

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amd64 825,8 kbyte1.071,0 kbyte [filförteckning]
arm64 823,9 kbyte1.088,0 kbyte [filförteckning]
armel 824,7 kbyte1.087,0 kbyte [filförteckning]
armhf 822,0 kbyte1.087,0 kbyte [filförteckning]
i386 826,6 kbyte1.074,0 kbyte [filförteckning]
mips64el 823,9 kbyte1.092,0 kbyte [filförteckning]
mipsel 823,6 kbyte1.090,0 kbyte [filförteckning]
ppc64el 829,9 kbyte1.088,0 kbyte [filförteckning]
s390x 824,4 kbyte1.075,0 kbyte [filförteckning]