Presentations at Conferences and Other Locations
"Advanced HTS data mining using web service workflows" by David Wild.
American Chemical Society National Meeting, San Francisco. (CINF Advances in Virtual HTS section)
Abstract: We will discuss the application of web services and workflows of these services in advanced data mining of HTS data. We have worked with HTS data from a number of sources, including the NIH DTP human tumor cell lines and MLSCN data from PubChem. Our workflows are able to find relationships and correlations of the HTS data using a wide variety of computational techniques, including docking, machine learning, similarity searching, and inclusion of genomic data. We are able to use models built from these analyses and workflows to provide virtual HTS environments within an information system targeted to particular disease areas.