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Maryam Pouryahya

Showing results (1-10 of 16) with videos related to

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Scientific Reports|April 25, 2018
Characterizing Cancer Drug Response and Biological Correlates: A Geometric Network ApproachMaryam Pouryahya, Jung Hun Oh, James C Mathews, et al.
Scientific Reports|September 29, 2019
Molecular phenotyping using networks, diffusion, and topology: soft tissue sarcomaJames C Mathews, Maryam Pouryahya, Caroline Moosmüller, et al.
NPJ Breast Cancer|September 19, 2019
Robust and interpretable PAM50 reclassification exhibits survival advantage for myoepithelial and immune phenotypesJames C Mathews, Saad Nadeem, Arnold J Levine, et al.
Computers in Biology and Medicine|March 29, 2020
A novel kernel Wasserstein distance on Gaussian measures: An application of identifying dental artifacts in head and neck computed tomographyJung Hun Oh, Maryam Pouryahya, Aditi Iyer, et al.
Briefings in Bioinformatics|July 7, 2026
Accurate prediction of asparagine deamidation in biologics using advanced machine learning modelsShafayat Ahmed, Nicole Swope, Valentin Stanev, et al.
International Journal of Molecular Sciences|February 15, 2022
Pan-Cancer Prediction of Cell-Line Drug Sensitivity Using Network-Based MethodsMaryam Pouryahya, Jung Hun Oh, James C Mathews, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|November 23, 2020
aWCluster: A Novel Integrative Network-Based Clustering of Multiomics for Subtype Analysis of Cancer DataMaryam Pouryahya, Jung Hun Oh, Pedram Javanmard, et al.
Proceedings of the National Academy of Sciences of the United States of America|July 1, 2020
Functional network analysis reveals an immune tolerance mechanism in cancerJames C Mathews, Saad Nadeem, Maryam Pouryahya, et al.
Journal of Pharmaceutical Sciences|May 18, 2026
Automation and digitalization in drug product process developmentSadegh Poozesh, Mike Long, Robert Frederick Meyer, et al.
Mabs|September 26, 2025
Accelerating antibody development: sequence and structure-based models for predicting developability properties via size exclusion chromatographyA N M Nafiz Abeer, Mehdi Boroumand, Isabelle Sermadiras, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Scientific Reports|April 25, 2018
Characterizing Cancer Drug Response and Biological Correlates: A Geometric Network ApproachMaryam Pouryahya, Jung Hun Oh, James C Mathews, et al.
Scientific Reports|September 29, 2019
Molecular phenotyping using networks, diffusion, and topology: soft tissue sarcomaJames C Mathews, Maryam Pouryahya, Caroline Moosmüller, et al.
NPJ Breast Cancer|September 19, 2019
Robust and interpretable PAM50 reclassification exhibits survival advantage for myoepithelial and immune phenotypesJames C Mathews, Saad Nadeem, Arnold J Levine, et al.
Computers in Biology and Medicine|March 29, 2020
A novel kernel Wasserstein distance on Gaussian measures: An application of identifying dental artifacts in head and neck computed tomographyJung Hun Oh, Maryam Pouryahya, Aditi Iyer, et al.
Briefings in Bioinformatics|July 7, 2026
Accurate prediction of asparagine deamidation in biologics using advanced machine learning modelsShafayat Ahmed, Nicole Swope, Valentin Stanev, et al.
International Journal of Molecular Sciences|February 15, 2022
Pan-Cancer Prediction of Cell-Line Drug Sensitivity Using Network-Based MethodsMaryam Pouryahya, Jung Hun Oh, James C Mathews, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|November 23, 2020
aWCluster: A Novel Integrative Network-Based Clustering of Multiomics for Subtype Analysis of Cancer DataMaryam Pouryahya, Jung Hun Oh, Pedram Javanmard, et al.
Proceedings of the National Academy of Sciences of the United States of America|July 1, 2020
Functional network analysis reveals an immune tolerance mechanism in cancerJames C Mathews, Saad Nadeem, Maryam Pouryahya, et al.
Journal of Pharmaceutical Sciences|May 18, 2026
Automation and digitalization in drug product process developmentSadegh Poozesh, Mike Long, Robert Frederick Meyer, et al.
Mabs|September 26, 2025
Accelerating antibody development: sequence and structure-based models for predicting developability properties via size exclusion chromatographyA N M Nafiz Abeer, Mehdi Boroumand, Isabelle Sermadiras, et al.
Pageof 2