An iteration normalization and test method for differential expression analysis of RNA-seq data

October 7, 2014 Comments Off on An iteration normalization and test method for differential expression analysis of RNA-seq data 6,884 Views

Next generation sequencing technologies are powerful new tools for investigating a wide range of biological and medical questions. Statistical and computational methods are key to analyzing massive and complex sequencing data. In order to derive gene expression measures and compare ...

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An iteration normalization and test method for differential expression analysis of RNA-seq data

spSeudoMap – cell type mapping of spatial transcriptomics using unmatched single-cell RNA-seq data

SoCube – an innovative end-to-end doublet detection algorithm for analyzing scRNA-seq data

Quantabio adds powerful bead booster chemistry to ultra-fast sparQ RNA-Seq HMR kit

SiT – spatial isoform transcriptomics

Analysis of single-cell rna-seq data

AllenDigger – spatial expression data visualization, spatial heterogeneity delineation, and single-cell registration based on the Allen Brain Atlas

New research identifies an inaccuracy in the single cell GENCODE gene model