PAG-X: BOOTSTRAP CONFIDENCE ANALYSIS OF UP- AND DOWN-REGULATED GENES IN WHOLE GENOME DATA.

Plant, Animal & Microbe Genomes X Conference

January 12-16, 2002
Town & Country Convention Center
San Diego, CA

Bioinformatics: Software
Computer: Poster and Demo

BOOTSTRAP CONFIDENCE ANALYSIS OF UP- AND DOWN-REGULATED GENES IN WHOLE GENOME DATA.

Alexander Kuklin¹ , Shelley Cao¹ , Sorin Draghici¹ , Anton Petrov¹ , Bruce Hoff¹ , Soheil Shams¹

¹ BioDiscovery Inc., 4640 Admiralty Way, Suite 710 Marina Del Rey, CA 90292

Selection of up- and down-regulated genes is an important stage of data mining procedure in bioinformatics for the whole genome data. An ultimate goal of such a procedure would be not only to group the genes by their level of regulation, but also to assign statistically justified level of confidence for our decision. Presented system automates the process of selection of replicated genes with pre-set regulation level and confidence value. For an assessment of the confidence value an adaptive residual bootstrap method is proposed. Implementation of this advanced statistical technique guaranties the validity of confidence analysis results even in the presence of highly non-normal distribution of replicated data.

Return to Previous Page or Intl-PAG Homepage