Cosbin
Cosine score-based iterative normalization (Cosbin) enhances the normalization of gene expression data, particularly in the context of biologically diverse samples. Traditional approaches to normalization, including the reliance on reference genes or size-factor adjustments, often fall short when faced with substantial differential expression asymmetry across conditions. Cosbin addresses this challenge by utilizing Cosine scores to assess cross-condition expression patterns, iteratively filtering out asymmetrically differentially expressed genes to pinpoint consistently expressed ones for calculating normalization factors.
Topic
Gene expression;Workflows;Sample collections;Proteomics;RNA-Seq
Detail
Operation: Standardisation and normalisation;Differential gene expression profiling;Phasing
Software interface: Command-line interface
Language: R
License: The MIT License
Cost: Free
Version name: -
Credit: National Institutes of Health, Department of Defence.
Input: -
Output: -
Contact: Yue Wang yuewang@vt.edu
Collection: -
Maturity: -
Publications
- Cosbin: cosine score-based iterative normalization of biologically diverse samples.
- Wu CT, et al. Cosbin: cosine score-based iterative normalization of biologically diverse samples. Cosbin: cosine score-based iterative normalization of biologically diverse samples. 2022; 2:vbac076. doi: 10.1093/bioadv/vbac076
- https://doi.org/10.1093/BIOADV/VBAC076
- PMID: 36330358
- PMC: PMC9614059
Download and documentation
Documentation: https://github.com/MinjieSh/Cosbin/blob/main/README.md
Home page: https://github.com/MinjieSh/Cosbin
< Back to DB search