STOPSACK . GITHUB . IO {
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Title:
Batch Effect Adjustments • batchtma
Description:
Different adjustment methods for batch effects in biomarker data, such as from tissue microarrays. Some methods attempt to retain differences between batches that may be due to between-batch differences in "biological" factors that influence biomarker values.
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12 years and 3 months (reg. 2013-03-08).
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Keywords {🔍}
batch, biomarker, package, effects, differences, batchtma, means, methods, data, started, address, true, tma, simple, stopsack, gerke, reference, implements, batches, values, installed, cran, rep, times, dfadjust, method, plotbatchdata, marker, title, betweenbatch, confounding, quantile, license, konrad, author, travis, changelog, goal, provide, functions, effectadjusting, retaining, due, underlying, factors, drive, installation, installpackagesbatchtma, install, potentially,
Topics {✒️}
konrad stopsack drive biomarker values tumor biomarker studies potentially newer version stopsack/batchtma inverse-probability weighting cran batches include samples methods differ depending address batch effects standardized batch means �true” underlying differences travis gerke adjusted data installation batchtma started” vignette batch effects biomarker = rep markers = biomarker marker = biomarker biomarker levels gerke ta batchtma package batch = tma batch differences batch differences 1 handle “true” retains “true” data = df raw data data = df_adjust provide functions usage load tma = rep marker = biomarker_adj2 distributional property quantile regression high quantiles quantile normalization vaselkiv jb penney kl kantoff pw finn sp lotan tl mucci la equal contribution tissue microarrays links view site built retaining differences
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