Abstract

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.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Library of Medicine (NLM)
Type
Research Transition Award (R00)
Project #
5R00LM009826-05
Application #
8324015
Study Section
Biomedical Library and Informatics Review Committee (BLR)
Program Officer
Ye, Jane
Project Start
2008-09-30
Project End
2014-09-29
Budget Start
2012-09-30
Budget End
2014-09-29
Support Year
5
Fiscal Year
2012
Total Cost
$238,943
Indirect Cost
$101,619

  Institution

Name
Children's Hospital Boston
Department
Type
DUNS #
076593722
City
Boston
State
MA
Country
United States
Zip Code
02115

  Publications

Zollanvari, Amin; Alterovitz, Gil (2017) SNP by SNP by environment interaction network of alcoholism. BMC Syst Biol 11:19
Yang, Y; Chen, S; Yang, F et al. (2017) HLA-B*51:01 is strongly associated with clindamycin-related cutaneous adverse drug reactions. Pharmacogenomics J 17:501-505
Warner, Jeremy L; Zhang, Peijin; Liu, Jenny et al. (2016) Classification of hospital acquired complications using temporal clinical information from a large electronic health record. J Biomed Inform 59:209-17
Warner, Jeremy L; Denny, Joshua C; Kreda, David A et al. (2015) Seeing the forest through the trees: uncovering phenomic complexity through interactive network visualization. J Am Med Inform Assoc 22:324-9
Warner, Jeremy L; Zollanvari, Amin; Ding, Quan et al. (2013) Temporal phenome analysis of a large electronic health record cohort enables identification of hospital-acquired complications. J Am Med Inform Assoc 20:e281-7
Warner, Jeremy; Yang, Peter; Alterovitz, Gil (2013) Automated synthesis and visualization of a chemotherapy treatment regimen network. Stud Health Technol Inform 192:62-6
Warner, Jeremy L; Alterovitz, Gil; Bodio, Kelly et al. (2013) External phenome analysis enables a rational federated query strategy to detect changing rates of treatment-related complications associated with multiple myeloma. J Am Med Inform Assoc 20:696-9
Marwah, Kshitij; Katzin, Dustin; Zollanvari, Amin et al. (2012) Context-specific ontology integration: a bayesian approach. AMIA Jt Summits Transl Sci Proc 2012:79-86
Deng, Michelle; Zollanvari, Amin; Alterovitz, Gil (2012) A bayesian translational framework for knowledge propagation, discovery, and integration under specific contexts. AMIA Jt Summits Transl Sci Proc 2012:25-34
Quo, Chang F; Kaddi, Chanchala; Phan, John H et al. (2012) Reverse engineering biomolecular systems using -omic data: challenges, progress and opportunities. Brief Bioinform 13:430-45

Showing the most recent 10 out of 15 publications