Yvan Saeys

TL;DR: A basic taxonomy of feature selection techniques is provided, providing their use, variety and potential in a number of both common as well as upcoming bioinformatics applications.

TL;DR: A comprehensive blind assessment of over 30 network inference methods on Escherichia coli, Staphylococcus aureus, Saccharomyces cerevisiae and in silico microarray data defines the performance, data requirements and inherent biases of different inference approaches, and provides guidelines for algorithm application and development.

TL;DR: A new visualization technique is introduced, called FlowSOM, which analyzes Flow or mass cytometry data using a Self‐Organizing Map, using a two‐level clustering and star charts, to obtain a clear overview of how all markers are behaving on all cells, and to detect subsets that might be missed otherwise.

TL;DR: The authors comprehensively benchmark the accuracy, scalability, stability and usability of 45 single-cell trajectory inference methods and develop a set of guidelines to help users select the best method for their dataset.

TL;DR: The complete genome sequence of an ancient member of this lineage, the unicellular green alga Ostreococcus tauri, is unveiled, making O. tauri an ideal model system for research on eukaryotic genome evolution, including chromosome specialization and green lineage ancestry.