The applicant describes a 5-year career development program leading to independent academic research in biomedical networks under Marco Ramoni and co-mentors David Bates, Isaac Kohane, and Peter Szolovits. The applicant proposes a combined training and research program to lead to independence. Training involves biomedical methods underlying the networks being investigated by the applicant. On the research front, the hypothesis is that a holistic approach to the processing of information in biomedical networks is able to uncover novel types of relationships that could not be identified through current reductionistic methods.
The aims are: 1) Design and develop a methodological framework, based on statistical signal processing, able to analyze biomedical networks and discover hidden relationships. 2) Develop and implement a scalable, modular architecture that is able to adaptively integrate information into the framework described in aim 1. 3) Apply the architecture in specific aim 2 to the development of a system for the analysis of large-scale EHR-based clinical informatics networks.
| Alterovitz, Gil; Xiang, Michael; Hill, David P et al. (2010) Ontology engineering. Nat Biotechnol 28:128-30 |
| Hartwig, Sunny; Ho, Jacqueline; Pandey, Priyanka et al. (2010) Genomic characterization of Wilms' tumor suppressor 1 targets in nephron progenitor cells during kidney development. Development 137:1189-203 |
| Chang, Hsun-Hsien; McGeachie, Michael; Alterovitz, Gil et al. (2010) Mapping transcription mechanisms from multimodal genomic data. BMC Bioinformatics 11 Suppl 9:S2 |
| Alterovitz, Gil; Muso, Taro; Ramoni, Marco F (2010) The challenges of informatics in synthetic biology: from biomolecular networks to artificial organisms. Brief Bioinform 11:80-95 |
