Computational approaches for interpreting scRNA‐seq data

• Published in: FEBS letters Vol. 591; no. 15; pp. 2213 - 2225
• Main Authors: Rostom, Raghd, Svensson, Valentine, Teichmann, Sarah A., Kar, Gozde
• Format: Journal Article
• Language: English
• Published: England John Wiley and Sons Inc 01.08.2017
• Subjects: Animals; Cluster Analysis; Computational Biology - methods; Gene Expression; genes; Humans; Review; RNA; Sequence Analysis, RNA - methods; Single-Cell Analysis - methods; single‐cell analysis methods and tools; single‐cell genomics; transcriptomics; single-cell analysis methods and tools; single-cell genomics

The recent developments in high‐throughput single‐cell RNA sequencing technology (scRNA‐seq) have enabled the generation of vast amounts of transcriptomic data at cellular resolution. With these advances come new modes of data analysis, building on high‐dimensional data mining techniques. Here, we c...