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Mohammad S. Rahman
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2020 – today
- 2020
- [j5]Mohammad S. Rahman
, Gholamreza Haffari:
A Statistically Efficient and Scalable Method for Exploratory Analysis of High-Dimensional Data. SN Comput. Sci. 1(1): 64 (2020) - [j4]Mohammad S. Rahman
, Ann E. Nicholson, Gholamreza Haffari:
Inferring Two-Level Hierarchical Gaussian Graphical Models to Discover Shared and Context-Specific Conditional Dependencies from High-Dimensional Heterogeneous Data. SN Comput. Sci. 1(4): 218 (2020)
2010 – 2019
- 2019
- [j3]Mohammad S. Rahman
, Gholamreza Haffari:
Analyzing Tumor Heterogeneity by Incorporating Long-Range Mutational Influences and Multiple Sample Data into Heterogeneity Factorial Hidden Markov Model. J. Comput. Biol. 26(9): 985-1002 (2019) - [j2]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
, Mahbubur Rahman, Mohammad A. Siddique, Mohammad M. Rahman, Md N. Jahan, Mir F. Shaunak, Mohammad S. Rahman, Mohammad R. Islam, Nicola Mosca, Rémi D'Ánnunzio, Shrabanti Hira, Matieu Henry, Antonio Di Gregorio, Gianluca Franceschini, Mohammad S. Islam, Mariam Akhter, Zarin T. Khan
, Mohammad A. Hadi, Mohammed A. Hossain:
Toward Efficient Land Cover Mapping: An Overview of the National Land Representation System and Land Cover Map 2015 of Bangladesh. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(10): 3852-3861 (2019) - 2018
- [j1]Mohammad S. Rahman
, Ann E. Nicholson
, Gholamreza Haffari:
HetFHMM: A Novel Approach to Infer Tumor Heterogeneity Using Factorial Hidden Markov Models. J. Comput. Biol. 25(2): 182-193 (2018)
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