RNA-seq data contains per-sample scale distortions detected by local averaging; two new nonlinear transforms correct them and improve gene-gene correlations and subpopulation test sensitivity/specificity by 3-5%.
Normalization methods for the analysis of unbalanced transcriptome data: A review.Frontiers in Bioengineering and Biotechnology, 7
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
q-bio.GN 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Detecting and Correcting Sample-by-Sample Scale Distortion in RNA Sequencing Data
RNA-seq data contains per-sample scale distortions detected by local averaging; two new nonlinear transforms correct them and improve gene-gene correlations and subpopulation test sensitivity/specificity by 3-5%.