Abstract: In this era of precision medicine, understanding the epigenetic differences in lung cancer subtypes could lead to personalized therapies by possibly reversing these alterations. Traditional methods for analyzing microarray data rely on the use of known pathways. We propose a novel workflow, called Junction trees to Knowledge (J2K) framework, for creating interpretable graphical representations that can be derived directly from in silico analysis of microarray data.
Amit Acharya, BDS, MS, PhD
Director, Institute for Oral and Systemic Health
Director, Dental Informatics Postdoctoral Training Program
Dental Informatics Scientist | Associate Research Scientist
Marshfield Clinic Research Foundation
Abstract: Chemogenomics is an interdisciplinary research that utilizes chemicals/drugs and associated genomics data to systematically identify and analyze chemicals-protein/protein interactions for the purpose of enhancing new drug discovery. Computational chemogenomics draws from the cheminformatics/ bioinformatics and computational biology disciplines to produce useful information systems for researchers in pursuit of chemogenomics data-mining, predictive modeling, as well as techniques in ligand- and structure-based drug design.
Abstract: The concept of a Learning Health System, a system that can continuously and routinely study and improve itself, has gained significant traction around the country and around the world. Reports from the Institute of Medicine, many journal articles, and current federal policies argue strongly for achievement of this "Big Hairy Audacious Goal" to improve individual and population health. This presentation will describe the Learning Health System concept, framing it as a consummate informatics challenge that invokes in equal parts people and technolo