Alicia Oshlack

Normalization of boutique two-color microarrays with a high proportion of differentially expressed probes

Normalization is critical for removing systematic variation from microarray data. For two-color microarray platforms, intensity-dependent lowess normalization is commonly used t...

Clustering trees: a visualization for evaluating clusterings at multiple resolutions

Abstract Clustering techniques are widely used in the analysis of large datasets to group together samples with similar properties. For example, clustering is often used in the ...

A scaling normalization method for differential expression analysis of RNA-seq data

Transcript length bias in RNA-seq data confounds systems biology

This article was reviewed by Rohan Williams (nominated by Gavin Huttley), Nicole Cloonan (nominated by Mark Ragan) and James Bullard (nominated by Sandrine Dudoit).

Gene ontology analysis for RNA-seq: accounting for selection bias

From RNA-seq reads to differential expression results