RNA-Seq Blog Transcriptome Research & Industry News
scRNA-seq profiles each represent a highly partial sample of mRNA molecules from a unique cell that can never be resampled, and robust analysis must...
Read More »MetaCell – analysis of single-cell RNA-seq data using K-nn graph partitions
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- Learning to predict RNA sequence expressions from whole slide images
- CRIC-seq – global profiling of in-situ RNA–RNA contacts associated with a specific RNA-binding protein
- Novel machine-learning algorithm creates atlas of cancer with potential as universal diagnostic platform
- Long noncoding RNA profiling may be effective for stratification in pediatric AML
- 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