Decoding Heterogeneity in Quadruple-Negative Breast Cancer: A Data-driven Clustering Approach. - Bikram Sahoo; Nikita Jinna; Padmashree Rida; Zandra Pinnix; Alex Zelikovsky (ICCABS, 2023)

Exploring Racial Disparities in Triple-Negative Breast Cancer: Insights from Feature Selection Algorithms. - Bikram Sahoo; Temitope Adeyeha; Zandra Pinnix; Alex Zelikovsky (ISBRA, 2023)

Deep Learning Reveals Biological Basis of Racial Disparities in Quadruple-Negative Breast Cancer. - Bikram Sahoo; Zandra Pinnix; Alex Zelikovsky (ISBRA, 2023)

Identifying Biomarkers Using Support Vector Machine to Understand the Racial Disparity in Triple-Negative Breast Cancer. - Bikram Sahoo; Zandra Pinnix; Seth Sims; Alex Zelikovsky (J. Comput. Biol., 2023)

Machine Learning-Driven Discovery of Quadruple-Negative Breast Cancer Subtypes from Gene Expression Data. - Bikram Sahoo; Nikita Jinna; Padmashree Rida; Zandra Pinnix; Alex Zelikovsky (ISBRA (1), 2024)