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[ Kaynak: r-bioc-multtest  ]

Paket: r-bioc-multtest (2.46.0-1)

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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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r-bioc-multtest indir

Tüm mevcut mimariler için indir
Mimari Paket Boyutu Kurulu Boyut Dosyalar
amd64 822,7 kB1.065,0 kB [dosya listesi]
arm64 820,9 kB1.062,0 kB [dosya listesi]
armel 821,6 kB1.061,0 kB [dosya listesi]
armhf 819,1 kB1.049,0 kB [dosya listesi]
i386 823,7 kB1.068,0 kB [dosya listesi]
mips64el 821,3 kB1.066,0 kB [dosya listesi]
mipsel 820,7 kB1.064,0 kB [dosya listesi]
ppc64el 826,6 kB1.082,0 kB [dosya listesi]
s390x 821,9 kB1.069,0 kB [dosya listesi]