Bioinformatics Seminars

Bioinformatics Seminar

Time:
Venue: Na

4 April 2017

Na

RLE Plots: Visualising Unwanted Variation in High Dimensional Data

Luke Gandolfo
WEHI Bioinformatics

Unwanted variation can be highly problematic and so its detection is often crucial. Relative log expression (RLE) plots are a powerful tool for visualising such variation in high dimensional data. We provide a detailed examination of these plots ; with the aid of examples and simulation ; explaining what they are and what they can reveal. RLE plots are particularly useful for assessing whether a procedure aimed at removing unwanted variation ; i.e. a normalisation procedure ; has been successful. These plots ; while originally devised for gene expression data from microarrays ; can also be used to reveal unwanted variation in many other kinds of high dimensional data ; where such variation can be problematic.
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