Joachim Selbig

TL;DR: Widespread changes in the expression of genes encoding receptor kinases, transcription factors, components of signalling pathways, proteins involved in post-translational modification and turnover, and proteins involved with the synthesis and sensing of cytokinins, abscisic acid and ethylene revealing large-scale rewiring of the regulatory network is an early response to sugar depletion are revealed.

TL;DR: PcaMethods is a Bioconductor compliant library for computing principal component analysis (PCA) on incomplete data sets that can be analyzed directly or used to estimate missing values to enable the use of missing value sensitive statistical methods.

TL;DR: The findings show that the algorithms used so far may be quite substantially improved upon when dealing with small datasets, finite sample effects and other sources of potentially misleading results have to be taken into account.

TL;DR: New developments are presented, including improvements of the gene assignments and the user interface, a strategy to visualize multilayered datasets, and extensions of the software to incorporate more biological information including visualization of coresponding genes and horizontal searches for similar global responses across large numbers of arrays.

TL;DR: It is proposed that enzyme activities provide a quasi-stable integration of regulation at several levels and provide useful data for the characterization and diagnosis of different physiological states.