Tag Archives: Clustering

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 »

SCell – integrated analysis of single-cell RNA-seq data

Analysis of the composition of heterogeneous tissue has been greatly enabled by recent developments in single-cell transcriptomics. Researchers from UCSF have developed SCell, an integrated software tool for quality filtering, normalization, feature selection, iterative dimensionality reduction, clustering and the estimation ...

Read More »

(Post) Graduate Course ‘The Power of RNA-Seq’

Date: February 10th-12th, 2016 Location: Room PC95 (first floor), RADIX building (107), Wageningen Campus, Droevendaalsesteeg 1, Wageningen, the Netherlands Directions: directions (check also Map Wageningen UR Campus) Language: English Group size: maximum of 35 participants Credits: 0.8 ECTS Registration and ...

Read More »