Transcriptomic Batch Correction
Transcriptomic Batch Correction is a computational methodology designed to identify and remove non-biological, experimentally induced variations in gene expression data while preserving biologically relevant signals across different transcriptomic datasets.
29
Publications
1.5K
Citations
172
Authors
88
Institutions
Publications per year
2017–2026
22
Parents
29
Unifying cancer and normal RNA sequencing data from different sources
Qingguo Wang, Joshua Armenia, Chao Zhang et al. · Scientific Data · 2018 · 225 citations · Full text
Peter Kupfer, Reinhard Guthke, Dirk Pohlers et al. · BMC Medical Genomics · 2012 · 83 citations · Full text
Batch alignment of single-cell transcriptomics data using deep metric learning
Xiaokang Yu, Xinyi Xu, Jingxiao Zhang et al. · Nature Communications · 2023 · 82 citations · Full text
1–5 of 29
172
2
h-index
2
h-index
2
h-index
2
h-index
Indiana University – Purdue University Indianapolis, United States
2 publications · 165 citations
2
h-index
1–5 of 172
88

Wellcome Sanger Institute
Cambridge, United Kingdom
3 h-index
10 publications
498 citations
Indiana University Bloomington
Bloomington, United States
2 h-index
2 publications
165 citations

Edinburgh Cancer Research
Edinburgh, United Kingdom
2 h-index
11 publications
554 citations
Yale University
New Haven, United States
2 h-index
5 publications
178 citations

University of Padua
Padua, Italy
2 h-index
2 publications
46 citations
Indiana University – Purdue University Indianapolis
Indianapolis, United States
2 h-index
10 publications
825 citations
Indiana University School of Medicine
Indianapolis, United States
2 h-index
10 publications
825 citations
UNC Lineberger Comprehensive Cancer Center
Chapel Hill, United States
2 h-index
5 publications
231 citations
1–8 of 88
5 publications · 163 citations
5
h-index
Repository · 4 publications · 74 citations
4
h-index
3 publications · 220 citations
3
h-index
2 publications · 94 citations
2
h-index
2 publications · 63 citations
2
h-index
1–5