Normalization Of Transcriptome Data
Normalization of Transcriptome Data is a computational procedure in comparative transcriptomics that adjusts raw gene expression measurements to correct for technical variations, thereby enabling valid comparisons of transcript abundance across samples by eliminating non-biological differences such as sequencing depth or library preparation bias.
372
Publications
47.4K
Citations
1.9K
Authors
738
Institutions
Publications per year
2017–2026
144
Variants
Transcriptome Data Normalization
Parents
372
Normalization of RNA-seq data using factor analysis of control genes or samples
Davide Risso, John Ngai, Terence P. Speed et al. · Nature Biotechnology · 2014 · 2.3K citations · Full text
1–5 of 372
1.9K
Walter and Eliza Hall Institute of Medical Research, Australia
6 publications · 3.1K citations
6
h-index
5
h-index
5
h-index
4
h-index
4
h-index
1–5 of 1.9K
738
Harvard University
Cambridge, United States
9 h-index
39 publications
3.3K citations
University of California, Berkeley
Berkeley, United States
7 h-index
21 publications
20K citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
18 publications
4.5K citations

Walter and Eliza Hall Institute of Medical Research
Melbourne, Australia
6 h-index
16 publications
20.3K citations

Chinese Academy of Sciences
Beijing, China
6 h-index
18 publications
666 citations
The University of Tokyo
Tokyo, Japan
6 h-index
22 publications
4.4K citations
Inserm
Paris, France
6 h-index
34 publications
1.4K citations
Stanford University
Stanford, United States
5 h-index
13 publications
3.2K citations
1–8 of 738
33 publications · 3.5K citations
25
h-index
31 publications · 5.2K citations
23
h-index
17 publications · 1.5K citations
16
h-index
17 publications · 2.4K citations
16
h-index
16 publications · 1.9K citations
16
h-index
1–5