Remembrance of Experiments Past: A redescription based tool for discovery in complex systems

A complex system creates a “whole that is larger than the sum of its parts,” by coordinating many interacting simpler component processes. Yet, each of these processes is difficult to decipher as their visible signatures are only seen in a syntactic background, devoid of the context. Examples of such visible datasets are time-course description of geneexpression abundance levels, neural spike-trains, or click-streams for web pages. It has now become rather effortless to collect voluminous datasets of this nature; but how can we make sense of them and draw significant conclusions? Samantha Kleinberg NYU Bioinformatics Group, Courant Institute Marco Antoniotti NYU Bioinformatics Group, Courant Institute