HetFHMM: A Novel Approach to Infer Tumor Heterogeneity Using Factorial Hidden Markov Models. - Mohammad S. Rahman; Ann E. Nicholson; Gholamreza Haffari (J. Comput. Biol., 2018)

Analyzing Tumor Heterogeneity by Incorporating Long-Range Mutational Influences and Multiple Sample Data into Heterogeneity Factorial Hidden Markov Model. - Mohammad S. Rahman; Gholamreza Haffari (J. Comput. Biol., 2019)

Toward Efficient Land Cover Mapping: An Overview of the National Land Representation System and Land Cover Map 2015 of Bangladesh. - Rashed Jalal; M. Golam Mahboob; Tasnuva S. Udita; Tariq Aziz; Syed M. Masum; Liam Costello; Champa R. Saha; Abdullah A. M. Chowdhury; Abdus Salam; Farzana Shahrin; Fazle R. Sumon; Zaheer Iqbal; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

A Statistically Efficient and Scalable Method for Exploratory Analysis of High-Dimensional Data. - Mohammad S. Rahman; Gholamreza Haffari (SN Comput. Sci., 2020)

Inferring Two-Level Hierarchical Gaussian Graphical Models to Discover Shared and Context-Specific Conditional Dependencies from High-Dimensional Heterogeneous Data. - Mohammad S. Rahman; Ann E. Nicholson; Gholamreza Haffari (SN Comput. Sci., 2020)