Genome Technology Center

Network Knowledge Base Analysis of High-Throughput Genomic Data

network knowledge base With the ever-increasing wealth of datasets from high-throughput analysis such as gene expression microarray, there is an urgent need to develop methods for data pruning, integration, reasoning and systematic generation of biological insights on disease mechanisms and treatments. We believe our project can address this need.

In this project we focus on developing new statistical algorithms for integrative analysis of high-throughput experimental data and a knowledge base of previously published and verified scientific findings. This development will empower us to elucidate important pathways in diseases and generate novel insight into treatments.


Wenzhong Xiao
Dan Richards
David Donoho
Ronald W. Davis

Statistics Dept, Stanford
Ingenuity Systems, Inc.




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