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Flexible comparison of batch correction methods for single-cell RNA-seq using BatchBench

As the cost of single-cell RNA-seq experiments has decreased, an increasing number of datasets are now available. Combining newly generated and publicly accessible datasets is challenging due to non-biological signals, commonly known as batch effects. Although there are several computational methods...

詳細記述

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書誌詳細
出版年:Nucleic Acids Res
主要な著者: Chazarra-Gil, Ruben, van Dongen, Stijn, Kiselev, Vladimir Yu, Hemberg, Martin
フォーマット: Artigo
言語:Inglês
出版事項: Oxford University Press 2021
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC8053088/
https://ncbi.nlm.nih.gov/pubmed/33524142
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nar/gkab004
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