Statistical methods for Bioinformatics

Author/Creator: Bernd Klaus
Curated By: Karin Sasaki
Language: R
Field(s): dimensionality reduction, clustering, regression analysis, PCA


This is a very concise introduction to important statistical methods in bioinformatics: dimensionality reduction, clustering and regression analysis, PCA.

These techniques are illustrated in the context of the analysis of (single cell) RNA–Seq data.

Tutorial includes slides, pdf explanation and exercises.

Level: Intermediate
Format: PDF
Time Required: 3-6
Prerequisites: Basic R, basic linear algebra
Access: none
Last Curated: 08/23/2016


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