| Advanced phenotyping and phenotype data analysis for the study of plant growth and development MM Rahaman, D Chen, Z Gillani, C Klukas, M Chen Frontiers in plant science 6, 619, 2015 | 325 | 2015 |
| Gene-expression signature regulated by the KEAP1-NRF2-CUL3 axis is associated with a poor prognosis in head and neck squamous cell cancer A Namani, M Matiur Rahaman, M Chen, X Tang BMC cancer 18, 1-11, 2018 | 91 | 2018 |
| CompareSVM: supervised, Support Vector Machine (SVM) inference of gene regularity networks Z Gillani, MSH Akash, MDM Rahaman, M Chen BMC bioinformatics 15, 1-7, 2014 | 61 | 2014 |
| Data-mining techniques for image-based plant phenotypic traits identification and classification MM Rahaman, MA Ahsan, M Chen Scientific reports 9 (1), 19526, 2019 | 37 | 2019 |
| Statistics and network-based approaches to identify molecular mechanisms that drive the progression of breast cancer MS Alam, MM Rahaman, A Sultana, G Wang, MNH Mollah Computers in Biology and Medicine 145, 105508, 2022 | 33 | 2022 |
| Identification of epistasis loci underlying rice flowering time by controlling population stratification and polygenic effect A Ahsan, M Monir, X Meng, M Rahaman, H Chen, M Chen DNA Research 26 (2), 119-130, 2019 | 18 | 2019 |
| Digital biomass accumulation using high-throughput plant phenotype data analysis MM Rahaman, MA Ahsan, Z Gillani, M Chen Journal of integrative bioinformatics 14 (3), 20170028, 2017 | 15 | 2017 |
| Robustification of Gaussian Bayes Classifier by the Minimum β-Divergence Method MM Rahaman, MNH Mollah Journal of Classification 36 (1), 113-139, 2019 | 4 | 2019 |
| Identification of host genomic biomarkers from multiple transcriptomics datasets for diagnosis and therapies of SARS-CoV-2 infections B Sarker, MM Rahaman, MA Islam, MH Alamin, MM Husain, F Ferdousi, ... Plos one 18 (3), e0281981, 2023 | 3 | 2023 |
| Bioinformatic analysis of differentially expressed genes (DEGs) detected from RNA-sequence profiles of mouse striatum B Sarker, MM Rahaman, S Khan, P Bosu, MNH Mollah Data Science and SDGs: Challenges, Opportunities and Realities, 101-122, 2021 | 1 | 2021 |
| Occupational Hazards in Lead-Acid Battery Factories in Bangladesh: Assessing Excess Heat, Noise, Chemical Exposures, and Health Impacts on Workers S Das, TC Nath, MM Rahaman, MJ Uddin, N Naher, M Akter, MM Rahman, ... Safety and Health at Work, 2024 | | 2024 |
| Boosting edgeR (Robust) by dealing with missing observations and gene-specific outliers in RNA-Seq profiles and its application to explore biomarker genes for diagnosis and … B Sarker, MM Rahaman, MH Alamin, MA Islam, MNH Mollah Genomics 116 (3), 110834, 2024 | | 2024 |
| Socioeconomic inequality and urban-rural disparity of antenatal care visits in Bangladesh: A trend and decomposition analysis B Biswas, N Kumar, MM Rahaman, S Das, MA Hoque Plos one 19 (3), e0301106, 2024 | | 2024 |
| Comparison to the Proposed Hybrid Model and Machine Learning Techniques for Survival Prediction of Corona, Infected Patients M Asadullah, MM Hossain, MMR Molla, MM Rahaman Advances in Systems Science and Applications 23 (4), 148-155, 2023 | | 2023 |
| Bioinformatics Analysis of Oral Squamous Cell Carcinomas and Their Interaction to Identify Molecular Signatures B Sarker, MM Rahaman, S Khan, JD Sinha, S Barman International Symposium on Artificial Intelligence, 155-169, 2022 | | 2022 |
| Robustification of Quadratic Discriminant Analyzer and Its Application for Gene Expression Data Analysis MM Rahaman, MNH Mollah | | 2021 |
| Identification of Prognostic Biomarkers Regulated by the KEAP1-NRF2-CUL3 Axis in TCGA-Head and Neck Squamous Cell Cancer (HNSCC) A Namani, MM Rahaman, M Chen, X Tang PANCREAS 49 (2), 150-151, 2020 | | 2020 |
| Application of Supervised Learning Methods for Gene Expression Microarray Data Classification S Khan, B Sarker, P Bosu, MM Rahaman Data Science and SDGs: Challenges, Opportunities and Realities, 2019 | | 2019 |
| Transformed Linear Discriminant Analysis and its Application in Gene Expression Data Classification P Bosu, B Sarker, S Khan, MM Rahaman Data Science and SDGs: Challenges, Opportunities and Realities, 2019 | | 2019 |
| Composite Interval Mapping for Identifying QTLs in Presence and Absence of Phenotypic Outliers MM Monir, M Khatun, MA Ahsan, M Matiur, H Mollah | | 2017 |
Ming Chen - 陈铭Professor of Bioinformatics, Zhejiang University在 zju.edu.cn 的电子邮件经过验证
