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Abstract 1473 Integrating Machine Learning and Functional Genomics to Prioritize CVD-associated Mutations Altering NKX2-5 and TBX5 DNA Binding

By Edwin Peña-Martínez, Diego Pomales-Matos, Alejandro Rivera-Madera, Jean Messon-Bird, Joshua Medina-Feliciano, Leandro Sanabria-Alberto, Adriana Barreiro-Rosario, Jeancarlos Rivera-Del Valle, Jose Arcadio Rodriguez-Martinez1

1. University of Puerto Rico - Rio Piedras

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Category

BioXFEL Publications

Published on

Type

journal-article

Author

Edwin Peña-Martínez and Diego Pomales-Matos and Alejandro Rivera-Madera and Jean Messon-Bird and Joshua Medina-Feliciano and Leandro Sanabria-Alberto and Adriana Barreiro-Rosario and Jeancarlos Rivera-Del Valle and Jose Rodríguez-Martínez

Citation

Peña-Martínez, E., Pomales-Matos, D., Rivera-Madera, A., Messon-Bird, J., Medina-Feliciano, J., Sanabria-Alberto, L., Barreiro-Rosario, A., Rivera-Del Valle, J., & Rodríguez-Martínez, J. (2024). Abstract 1473 Integrating Machine Learning and Functional Genomics to Prioritize CVD-associated Mutations Altering NKX2-5 and TBX5 DNA Binding. Journal of Biological Chemistry, 300(3), 106540. https://doi.org/10.1016/j.jbc.2024.106540

DOI

http://dx.doi.org/10.1016/j.jbc.2024.106540

Funding

NSF-STC Biology with X-ray Lasers (NSF-1231306)