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A comparison of RNA-Seq data preprocessing pipelines for transcriptomic predictions across independent studies.

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第一作者： Richard,Van

第一单位： School of Life Sciences, University of Nevada Las Vegas, Las Vegas, NV, USA.;Nevada Institute of Personalized Medicine, Las Vegas, NV, USA.

作者： Richard,Van ^[1] ; Daniel,Alvarez ^[2] ; Travis,Mize ^[3] ; Sravani,Gannavarapu ^[2] ; Lohitha,Chintham Reddy ^[2] ; Fatma,Nasoz ^[2] ; Mira V,Han ^[4]

作者单位： School of Life Sciences, University of Nevada Las Vegas, Las Vegas, NV, USA.;Nevada Institute of Personalized Medicine, Las Vegas, NV, USA. ^[1] Department of Computer Science, University of Nevada Las Vegas, Las Vegas, NV, USA.;Nevada Institute of Personalized Medicine, Las Vegas, NV, USA. ^[2] Icahn School of Medicine at Mount Sinai, Institute for Genomic Health, New York City, NY, USA. ^[3] School of Life Sciences, University of Nevada Las Vegas, Las Vegas, NV, USA. mira.han@unlv.edu.;Nevada Institute of Personalized Medicine, Las Vegas, NV, USA. mira.han@unlv.edu. ^[4]

关键词 Batch effect correction Cancer Classification Data scaling Normalization RNA-Seq

主题词人类(Humans);肿瘤(Neoplasms);序列分析, RNA(Sequence Analysis, RNA);基因表达谱(Gene Expression Profiling);计算生物学(Computational Biology)

DOI 10.1186/s12859-024-05801-x

PMID 38720247

发布时间 2024-05-11

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准确一般字义偏差语意偏离译文作用小提交