Despite its popularity, characterization of subpopulations with transcript abundance is subject to significant amount of noise. Researchers at the University of Hawaii Cancer Center propose to use effective and expressed nucleotide variations (eeSNVs) from scRNA-seq as alternative features for tumor subpopulation ...
Read More »NMFEM – detecting heterogeneity in single-cell RNA-Seq data by non-negative matrix factorization
Single-cell RNA-Sequencing (scRNA-Seq) is a fast-evolving technology that enables the understanding of biological processes at an unprecedentedly high resolution. However, well-suited bioinformatics tools to analyze the data generated from this new technology are still lacking. Here researchers from the University ...
Read More »Power analysis and sample size estimation for RNA-Seq differential expression
It is crucial for researchers to optimize RNA-seq experimental designs for differential expression detection. Currently, the field lacks general methods to estimate power and sample size for RNA-Seq in complex experimental designs, under the assumption of the negative binomial distribution. ...
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