PathEx: a novel multi factors based datasets selector web tool

Background: Microarray experiments have become very popular in life science research. However, if such experiments are only considered independently, the possibilities for analysis and interpretation of many life science phenomena are reduced. The accumulation of publicly available data provides biomedical researchers with a valuable opportunity to either discover new phenomena or improve the interpretation and validation of other phenomena that partially understood or well known. This can only be achieved by intelligently exploiting this rich mine of information. Description: Considering that technologies like microarrays remain prohibitively expensive for researchers with limited means to order their own experimental chips, it would be beneficial to re-use previously published microarray data. For certain researchers interested in finding gene groups (requiring many replicates), there is a great need for tools to help them to select appropriate datasets for analysis. These tools may...

• Type: Journal
• Year: 2010
• Where: BMCBI
• Authors: Eric Bareke, Michael Pierre, Anthoula Gaigneaux, Bertrand De Meulder, Sophie Depiereux, Naji Habra, Eric Depiereux
• Keywords: BMCBI 2010, Life Science, Life Science Research, Microarray Data