Abstract PaVESy: Combining profiling data with pathway knowledge

Abstract

Since a couple of years high-throughput profiling methods are entering life sciences. For instance, a gene expression profile contains information about the transcriptional response of a complete genome to different experimental conditions. For scientists this abundance of data is often difficult to interpret. Several statistical methods are developed, and progress in data processing and management makes it more and more feasible to connect the results of a concrete experiment to the confirmed but seemly unmanageable knowledge already known. The pathway database software PaVES