A component overlapping attribute clustering (COAC) algorithm for single-cell RNA sequencing data analysis and potential pathobiological implications

March 14, 2019 Leave a comment 2,187 Views

Recent advances in next-generation sequencing and computational technologies have enabled routine analysis of large-scale single-cell ribonucleic acid sequencing (scRNA-seq) data. However, scRNA-seq technologies have suffered from several technical challenges, including low mean expression levels...

RNA-Seq Blog Transcriptome Research & Industry News

Tag Archives: COAC

A component overlapping attribute clustering (COAC) algorithm for single-cell RNA sequencing data analysis and potential pathobiological implications

scRNA-Seq reveals a new type of bone cell that may uncover therapeutic targets for a range of skeletal diseases

DEBKS – a tool to detect differentially expressed circular RNA

Single-cell RNA and protein expression in relation to cell cycle progression

Evaluating capture sequence performance for single-cell CRISPR activation experiments

Seven Bridges Selected by Pfizer to Support Data Management Solution for Single-Cell RNA Sequencing Data

Single-cell mapper (scMappR) – using scRNA-seq to infer the cell-type specificities of differentially expressed genes

Featured RNA-Seq Job – Staff Bioinformatics Scientist, RNA-Seq