Deep learning based tumor type classification using gene expression data B Lyu, A Haque Proceedings of the 2018 ACM international conference on bioinformatics …, 2018 | 182 | 2018 |
Interpretable machine learning predicts cardiac resynchronization therapy responses from personalized biochemical and biomechanical features A Haque, D Stubbs, NC Hubig, FG Spinale, WJ Richardson BMC Medical Informatics and Decision Making 22 (1), 282, 2022 | 4 | 2022 |
Aggregation Prone Regions in Antibody Sequences Raised Against Vibrio cholerae: A Bioinformatic Approach FAMAI Zakia Akter, Anamul Haque, Md. Sabir Hossain Current Bioinformatics, 2020 | 2 | 2020 |
TigerPrint s A Haque | | 2023 |
Interpretable Mechanistic and Machine Learning Models for Pre-Dicting Cardiac Remodeling From Biochemical and Biomechanical Features A Haque Clemson University, 2023 | | 2023 |
Interpretable machine learning predicts cardiac resynchronization therapy responses from personalized biochemical and biomechanical features D Stubbs, WJ Richardson, A Haque, NC Hubig, FG Spinale figshare Academic Research System, 2022 | | 2022 |
Differential Expression Analysis of Type II Toxin-Antitoxin Genes of Pseudomonas aeruginosa PAO1 under Different Environmental Conditions A Haque Virginia Polytechnic Institute and State University (Virginia Tech), 2018 | | 2018 |
Synthetic Expression of Toxin-Antitoxin Genes and Determination of Growth Dynamics E Piersall, A Haque, I Shoultz, NC Butzin, C Ogle, W Mather 10th qBio Summer Conference, Nashville, Tennessee, 2016 | | 2016 |
Synthetic Expression of Toxin-Antitoxin Genes to Control Persister Frequency A Haque, NC Butzin, C Ogle, W Mather 10th qBio Summer Conference, Nashville, Tennessee, 2016 | | 2016 |