Sakib Sarker, S M Hasan Mahmud, Md Faruk Hosen, Kah Ong Michael Goh, Watshara Shoombuatong, AttBiomarker: unveiling preeclampsia biomarkers and molecular pathways through two-stage gene selection techniques and attention-based CNN with gene regulatory network analysis, Briefings in Bioinformatics, Volume 26, Issue 5, September 2025, bbaf473, https://doi.org/10.1093/bib/bbaf473 (Scopus Indexed, Q1, IF: 7.7)

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Hosen, M. F., Mahmud, S. M. H., Sarker, S., Goh, K. O. M., & Shoombuatong, W. (2026). A hybrid machine learning framework with two-step feature selection for identifying key biomarkers and drug targets in monkeypox. Biochemistry and Biophysics Reports, 47, 102683. https://doi.org/10.1016/j.bbrep.2026.102683

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Sarker, S., Ahammed, E., Hosen, M. F., Miah, M. B. A., Islam, M. A., Ghimire, D., Hwang, Y., & Hosen, A. S. M. S. (2026). Precision Biomarker Identification in Gynecological Cancers Using Coexpression Networks and Attention-Based LSTM in Healthcare 4.0. Diagnostics, 16(4), 546. https://doi.org/10.3390/diagnostics16040546 (Scopus Indexed, Q1, IF:3.3)

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Sarker, Antim Chandra, Sakib Sarker, and Emon Ahammed. "Identification of Hub Genes as Potential Biomarkers in Adrenocortical Carcinoma Using PLS-DA and Network-Based Analysis." In 2025 28th International Conference on Computer and Information Technology (ICCIT), pp. 2485-2490. IEEE, 2025.

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Ribahna, Mahia, Alif Areana Aurin, Sakib Sarker, Mahshar Yahan, Md Ibrahim Sarker Raiyan, and Mohammad Amanul Islam. "Identification of Hub Genes and Therapeutic Targets in Ovarian Serous Cystadenocarcinoma Using Machine Learning and Bioinformatics Approaches." In 2025 28th International Conference on Computer and Information Technology (ICCIT), pp. 48-53. IEEE, 2025.

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Raiyan, Md Ibrahim Sarker, Sakib Sarker, Emon Ahammed, Mahshar Yahan, and Md Tareq Zaman. "Identification of Potential Biomarkers in Acute Myeloid Leukemia Using Integrated Bioinformatics and Two-Step ML-Based Feature Selection Approaches." In 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), pp. 1-6. IEEE, 2025.

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Raiyan, Md Ibrahim Sarker, Sakib Sarker, Utsha Das, Emon Ahammed, Md Tareq Zaman, and Mahshar Yahan. "Identification of Potential Genomic Biomarkers in Pancreatic Cancer, Colon Cancer, and Ulcerative Colitis Using Integrated Machine Learning and Bioinformatics Approaches." In 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), pp. 1-6. IEEE, 2025.

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Yahan, Mahshar, Sakib Sarker, and Mohammad Islam. "Fine-Tuned Transformer-Based Weighted Soft Voting Ensemble for Persuasion Technique Classification in Slavic Languages." Proceedings of the 10th Workshop on Slavic Natural Language Processing (Slavic NLP 2025). 2025.

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Sarker, S., Hasan, M.A.M. and Srizon, A.Y., 2023, December. Identification and Validation of the Most Prevalent Biomarkers in Hepatocellular Carcinoma. In 2023 26th International Conference on Computer and Information Technology (ICCIT) (pp. 1-6). IEEE.

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Hosen, Md Faruk, et al. "A deep learning-based approach for predicting ubiquitination sites using word embedding techniques." 2024 27th International Conference on Computer and Information Technology (ICCIT). IEEE, 2024.

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Sarker, S., Hosen, M. F., Bashar, M. A., & Ahammed, E. (2024, October). Integrated Bioinformatics and Machine Learning Analysis Reveals Shared Key Candidate Biomarkers and Therapeutic Targets in Ulcerative Colitis and Colorectal Cancer. In 2024 2nd International Conference on Information and Communication Technology (ICICT) (pp. 105-109). IEEE.

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Sarker, S., Srizon, A. Y., Hasan, M. A. M., Sayeed, A., & Sikdar, S. (2024, September). Identification of Shared Biomarkers in HCC and NSCLC: An Integrative Machine Learning and Bioinformatics Approach. In 2024 IEEE International Conference on Power, Electrical, Electronics and Industrial Applications (PEEIACON) (pp. 888-893). IEEE.

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