Data Analysis

Feed Subscription

Power Analysis of Single Cell RNA Sequencing Experiments

Power Analysis of Single Cell RNA Sequencing Experiments

High-throughput single cell RNA sequencing (scRNA-seq) has become an established and powerful method to investigate transcriptomic cell-to-cell variation, and has revealed new cell types, and new insights into developmental process and stochasticity in gene expression. There are now several published ...

Read More »

SC3 – consensus clustering of single-cell RNA-Seq data

SC3 – consensus clustering of single-cell RNA-Seq data

Using single-cell RNA-seq (scRNA-seq), the full transcriptome of individual cells can be acquired, enabling a quantitative cell-type characterisation based on expression profiles. However, due to the large variability in gene expression, identifying cell types based on the transcriptome remains challenging. ...

Read More »
Scroll To Top