TMC-SNPdb: an Indian germline variant database derived from whole exome sequences. - Pawan Upadhyay; Nilesh Gardi; Sanket Desai; Bikram Sahoo; Ankita Singh; Trupti Togar; Prajish Iyer; Ratnam Prasad; Pratik Chandrani; Sudeep Gupta; Amit Dutt (Database J. Biol. Databases Curation, 2016)

Clustering Based Identification of SARS-CoV-2 Subtypes. - Andrew Melnyk; Fatemeh Mohebbi; Sergey Knyazev; Bikram Sahoo; Roya Hosseini; Pavel Skums; Alex Zelikovsky; Murray Patterson (ICCABS, 2020)

Estimating Enzyme Participation in Metabolic Pathways for Microbial Communities from RNA-seq Data. - Filipp Rondel; Akram Sadat Hosseini; Bikram Sahoo; Sergey Knyazev; Igor Mandric; Frank Stewart; Ion I. Mandoiu; Bogdan Pasaniuc; Alex Zelikovsky (ISBRA, 2020)

An SVM Based Approach to Study the Racial Disparity in Triple-Negative Breast Cancer. - Bikram Sahoo; Seth Sims; Alexander Zelikovsky (ICCABS, 2021)

A k-mer Based Approach for SARS-CoV-2 Variant Identification. - Sarwan Ali; Bikram Sahoo; Naimat Ullah; Alexander Zelikovskiy; Murray Patterson; Imdadullah Khan (ISBRA, 2021)

From Alpha to Zeta: Identifying Variants and Subtypes of SARS-CoV-2 Via Clustering. - Andrew Melnyk; Fatemeh Mohebbi; Sergey Knyazev; Bikram Sahoo; Roya Hosseini; Pavel Skums; Alex Zelikovsky; Murray Patterson (J. Comput. Biol., 2021)

Pipeline for Analyzing Activity of Metabolic Pathways in Planktonic Communities Using Metatranscriptomic Data. - Filipp Rondel; Roya Hosseini; Bikram Sahoo; Sergey Knyazev; Igor Mandric; Frank Stewart; Ion I. Mandoiu; Bogdan Pasaniuc; Yuri Porozov; Alexander Zelikovsky (J. Comput. Biol., 2021)

Benchmarking Machine Learning Robustness in Covid-19 Genome Sequence Classification. - Sarwan Ali; Bikram Sahoo; Alexander Zelikovskiy; Pin-Yu Chen; Murray Patterson (CoRR, 2022)

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)

Efficient Approximate Kernel Based Spike Sequence Classification. - Sarwan Ali; Bikram Sahoo; Muhammad Asad Khan; Alexander Zelikovsky; Imdad Ullah Khan; Murray Patterson (IEEE ACM Trans. Comput. Biol. Bioinform., 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)