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bioc
DESeq2:Differential gene expression analysis based on the negative binomial distribution
Estimate variance-mean dependence in count data from high-throughput sequencing assays and test for differential expression based on a model using the negative binomial distribution.
Maintained by Michael Love. Last updated 25 days ago.
sequencingrnaseqchipseqgeneexpressiontranscriptionnormalizationdifferentialexpressionbayesianregressionprincipalcomponentclusteringimmunooncologyopenblascpp
375 stars 16.11 score 17k scripts 115 dependentsbioc
ABSSeq:ABSSeq: a new RNA-Seq analysis method based on modelling absolute expression differences
Inferring differential expression genes by absolute counts difference between two groups, utilizing Negative binomial distribution and moderating fold-change according to heterogeneity of dispersion across expression level.
Maintained by Wentao Yang. Last updated 5 months ago.
4.62 score 1 scripts 1 dependents
gaoshant
NormExpression:Normalize Gene Expression Data using Evaluated Methods
It provides a framework and a fast and simple way for researchers to evaluate methods (particularly some data-driven methods or their own methods) and then select a best one for data normalization in the gene expression analysis, based on the consistency of metrics and the consistency of datasets. Zhenfeng Wu, Weixiang Liu, Xiufeng Jin, Deshui Yu, Hua Wang, Gustavo Glusman, Max Robinson, Lin Liu, Jishou Ruan and Shan Gao (2018) <doi:10.1101/251140>.
Maintained by Shan Gao. Last updated 1 years ago.
2 stars 2.16 score 36 scripts