Methods that remove batch effects while retaining group differences may lead to exaggerated confidence in downstream analyses

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Methods that remove batch effects while retaining group differences may lead to exaggerated confidence in downstream analyses is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1093/BIOSTATISTICS/KXV027
P932PMC publication ID4679072
P698PubMed publication ID26272994
P5875ResearchGate publication ID281053878

P50authorEivind HovigQ42063731
Einar Andreas RødlandQ43376294
P2093author name stringVegard Nygaard
P2860cites workLinear models and empirical bayes methods for assessing differential expression in microarray experimentsQ27860758
Normalization of cDNA microarray dataQ28181692
A comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression dataQ28749765
Ten simple rules for reproducible computational researchQ28974699
Adjusting batch effects in microarray expression data using empirical Bayes methodsQ29614937
Tackling the widespread and critical impact of batch effects in high-throughput dataQ30004214
Removing batch effects in analysis of expression microarray data: an evaluation of six batch adjustment methodsQ33840779
Relative impact of key sources of systematic noise in Affymetrix and Illumina gene-expression microarray experimentsQ34088518
Batch correction of microarray data substantially improves the identification of genes differentially expressed in rheumatoid arthritis and osteoarthritisQ34298215
Stratified randomization controls better for batch effects in 450K methylation analysis: a cautionary taleQ34330573
The sva package for removing batch effects and other unwanted variation in high-throughput experimentsQ35838453
Comparing the biological impact of glatiramer acetate with the biological impact of a genericQ41860072
Gene expression analysis reveals functional pathways of glatiramer acetate activation.Q45135279
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P4510describes a project that useslimmaQ112236343
P433issue1
P407language of work or nameEnglishQ1860
P921main subjectleadQ708
P304page(s)29-39
P577publication date2015-08-13
P1433published inBiostatisticsQ4915301
P1476titleMethods that remove batch effects while retaining group differences may lead to exaggerated confidence in downstream analyses
P478volume17

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