Principal components analysis and the reported low intrinsic dimensionality of gene expression microarray data

Gene expression analysis identifies global gene dosage sensitivity in cancer

(2015) Rudolf S N Fehrmann et al.   NATURE GENETICS

PhysioSpace: Relating Gene Expression Experiments from Heterogeneous Sources Using Shared Physiological Processes

(2013) Michael Lenz et al.   PLoS One

Making sense out of massive data by going beyond differential expression

(2012) P. R. Schmid et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Quantifying stability in gene list ranking across microarray derived clinical biomarkers

(2011) Sebastian Schneckener et al.   BMC Medical Genomics

Few inputs can reprogram biological networks

(2011) Franz-Josef Müller et al.   NATURE

Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data

(2010) Christoph Bartenhagen et al.   BMC BIOINFORMATICS

Heading Down the Wrong Pathway: on the Influence of Correlation within Gene Sets

(2010) Daniel M Gatti et al.   BMC GENOMICS

A global map of human gene expression

(2010) Margus Lukk et al.   NATURE BIOTECHNOLOGY

What is principal component analysis?

(2008) Markus Ringnér   NATURE BIOTECHNOLOGY