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Bridging Quantitative Science with Biological Research: Jumpstarting Computational Systems Biology Research at PVAMU

Faculty #92
Discipline: Technology & Engineering
Subcategory: STEM Research
- Prairie View A&M University
Co-Author(s): S. Kim, X. Li, and P. Obiomon, Prairie View A&M University, Prairie View, TX



The goal of this project is to provide innovative solutions to more effective and efficient drug development by studying and analyzing the dynamic evolution of drug/cell interactions using biomedical big data. It will enhance the PhD program in the ECE department, broaden participation in computational biology at PVAMU, and greatly improve African American involvement in cutting edge research that is extremely valuable to the nation.

Funder Acknowledgement(s): NSF

Faculty Advisor: None Listed,

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This material is based upon work supported by the National Science Foundation (NSF) under Grant No. DUE-1930047. Any opinions, findings, interpretations, conclusions or recommendations expressed in this material are those of its authors and do not represent the views of the AAAS Board of Directors, the Council of AAAS, AAAS’ membership or the National Science Foundation.

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