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2022 Journal Article Identification of potential key genes and molecular mechanisms of medulloblastoma based on integrated bioinformatics approachIslam, Md. Rakibul, Abdulrazak, Lway Faisal, Alam, Mohammad Khursheed, Paul, Bikash Kumar, Ahmed, Kawsar, Bui, Francis M. and Moni, Mohammad Ali (2022). Identification of potential key genes and molecular mechanisms of medulloblastoma based on integrated bioinformatics approach. BioMed Research International, 2022 (1) 1776082, 1-17. doi: 10.1155/2022/1776082 |
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2022 Journal Article SCMTHP: a new approach for identifying and characterizing of tumor-homing peptides using estimated propensity scores of amino acidsCharoenkwan, Phasit, Chiangjong, Wararat, Nantasenamat, Chanin, Moni, Mohammad Ali, Lio’, Pietro, Manavalan, Balachandran and Shoombuatong, Watshara (2022). SCMTHP: a new approach for identifying and characterizing of tumor-homing peptides using estimated propensity scores of amino acids. Pharmaceutics, 14 (1) 122, 122. doi: 10.3390/pharmaceutics14010122 |
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2022 Journal Article Empirical comparison and analysis of machine learning-based predictors for predicting and analyzing of thermophilic proteinsCharoenkwan, Phasit, Schaduangrat, Nalini, Hasan, Md Mehedi, Moni, Mohammad Ali, Lió, Pietro and Shoombuatong, Watshara (2022). Empirical comparison and analysis of machine learning-based predictors for predicting and analyzing of thermophilic proteins. EXCLI Journal, 21, 554-570. doi: 10.17179/excli2022-4723 |
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2022 Conference Publication Towards explainable and privacy-preserving artificial intelligence for personalisation in autism spectrum disorderMahmud, Mufti, Kaiser, M. Shamim, Rahman, Muhammad Arifur, Wadhera, Tanu, Brown, David J., Shopland, Nicholas, Burton, Andrew, Hughes-Roberts, Thomas, Mamun, Shamim Al, Ieracitano, Cosimo, Tania, Marzia Hoque, Moni, Mohammad Ali, Islam, Mohammed Shariful, Ray, Kanad and Hossain, M. Shahadat (2022). Towards explainable and privacy-preserving artificial intelligence for personalisation in autism spectrum disorder. 16th International Conference, UAHCI 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Virtual, 26 June - 1 July 2022. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-031-05039-8_26 |
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2022 Journal Article In silico molecular docking and ADME/T analysis of Quercetin compound with its evaluation of broad-spectrum therapeutic potential against particular diseasesHasan, Md Mahmudul, Khan, Zidan, Chowdhury, Mohammed Salahuddin, Khan, Md Arif, Moni, Mohammad Ali and Rahman, Md Habibur (2022). In silico molecular docking and ADME/T analysis of Quercetin compound with its evaluation of broad-spectrum therapeutic potential against particular diseases. Informatics in Medicine Unlocked, 29 100894, 1-8. doi: 10.1016/j.imu.2022.100894 |
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2022 Journal Article Identifying molecular signatures and pathways shared between Alzheimer's and Huntington's disorders: a bioinformatics and systems biology approachMahbub, Nosin Ibna, Hasan, Md. Imran, Rahman, Md Habibur, Naznin, Feroza, Islam, Md Zahidul and Moni, Mohammad Ali (2022). Identifying molecular signatures and pathways shared between Alzheimer's and Huntington's disorders: a bioinformatics and systems biology approach. Informatics in Medicine Unlocked, 30 100888, 1-12. doi: 10.1016/j.imu.2022.100888 |
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2022 Conference Publication Machine learning approaches to identify significant features for the diagnosis and prognosis of chronic kidney diseaseMahbub, Nosin Ibna, Hasan, Md. Imran, Ahamad, Md. Martuza, Aktar, Sakifa and Moni, Mohammad Ali (2022). Machine learning approaches to identify significant features for the diagnosis and prognosis of chronic kidney disease. International Conference on Innovations in Science, Engineering and Technology (ICISET), Chittagong, Bangladesh, 26-27 February 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICISET54810.2022.9775827 |
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2022 Journal Article Particle swarm optimized fuzzy CNN with quantitative feature fusion for ultrasound image quality identificationHossain, Muhammad Minoar, Hasan, Md. Mahmodul, Rahim, Md Abdur, Rahman, Mohammad Motiur, Yousuf, Mohammad Abu, Al-Ashhab, Samer, Akhdar, Hanan F., Alyami, Salem A., Azad, AKM and Moni, Mohammad Ali (2022). Particle swarm optimized fuzzy CNN with quantitative feature fusion for ultrasound image quality identification. IEEE Journal of Translational Engineering in Health and Medicine, 10 1800712, 1-13. doi: 10.1109/jtehm.2022.3197923 |
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2022 Conference Publication SATLabel: a framework for sentiment and aspect terms based automatic topic labellingShahriar, Khandaker Tayef, Moni, Mohammad Ali, Hoque, Mohammed Moshiul, Islam, Muhammad Nazrul and Sarker, Iqbal H. (2022). SATLabel: a framework for sentiment and aspect terms based automatic topic labelling. Machine Intelligence and Data Science Applications, Cumilla, Bangladesh, 26-27 December 2021. Gateway East, Singapore: Springer Nature Singapore. doi: 10.1007/978-981-19-2347-0_6 |
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2022 Journal Article Deep CNN-LSTM with self-attention model for human activity recognition using wearable sensorKhatun, Mst. Alema, Yousuf, Mohammad Abu, Ahmed, Sabbir, Uddin, Md. Zia, Alyami, Salem A., Al-Ashhab, Samer, Akhdar, Hanan F., Khan, Asaduzzaman, Azad, Akm and Moni, Mohammad Ali (2022). Deep CNN-LSTM with self-attention model for human activity recognition using wearable sensor. IEEE Journal of Translational Engineering in Health and Medicine, 10 2700316, 1-16. doi: 10.1109/jtehm.2022.3177710 |
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2022 Journal Article Severity of COVID-19 patients with coexistence of asthma and vitamin D deficiencyIslam, M. Babul, Chowdhury, Utpala Nanda, Nashiry, Md. Asif and Moni, Mohammad Ali (2022). Severity of COVID-19 patients with coexistence of asthma and vitamin D deficiency. Informatics in Medicine Unlocked, 34 101116, 101116. doi: 10.1016/j.imu.2022.101116 |
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2022 Journal Article Exploring the influencing factors for infant mortality: a mixed-method study of 24 developing countries based on demographic and health survey dataIslam, Md. Akhtarul, Tabassum, Tarana and Moni, Mohammad Ali (2022). Exploring the influencing factors for infant mortality: a mixed-method study of 24 developing countries based on demographic and health survey data. Family Medicine and Primary Care Review, 24 (3), 227-236. doi: 10.5114/fmpcr.2022.118281 |
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2022 Journal Article Identification of molecular signatures and pathways common to blood cells and brain tissue based RNA-Seq datasets of bipolar disorder: Insights from comprehensive bioinformatics approachIslam, A.M. Humyra, Rahman, Md Habibur, Bristy, Sadia Afrin, Andalib, K.M. Salim, Khan, Umama, Awal, Md Abdul, Hossain, Md Shahadat and Moni, Mohammad Ali (2022). Identification of molecular signatures and pathways common to blood cells and brain tissue based RNA-Seq datasets of bipolar disorder: Insights from comprehensive bioinformatics approach. Informatics in Medicine Unlocked, 29 100881, 1-12. doi: 10.1016/j.imu.2022.100881 |
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2022 Conference Publication Early stage detection of heart failure using machine learning techniquesAlom, Zulfikar, Azim, Mohammad Abdul, Aung, Zeyar, Khushi, Matloob, Car, Josip and Moni, Mohammad Ali (2022). Early stage detection of heart failure using machine learning techniques. International Conference on Big Data, IoT, and Machine Learning, Cox’s Bazar, Bangladesh, 23-25 September 2021. Singapore, Singapore: Springer Nature Singapore. doi: 10.1007/978-981-16-6636-0_7 |
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2022 Journal Article An in silico approach towards identification of novel drug targets in Klebsiella oxytocaHafsa, Umme, Chuwdhury, G. S., Hasan, Md Kamrul, Ahsan, Tanveer and Moni, Mohammad Ali (2022). An in silico approach towards identification of novel drug targets in Klebsiella oxytoca. Informatics in Medicine Unlocked, 31 100998, 1-10. doi: 10.1016/j.imu.2022.100998 |
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2022 Journal Article Systems Biology and Bioinformatics approach to Identify blood based signatures molecules and drug targets of patient with COVID-19Hasan, Md. Imran, Rahman, Md Habibur, Islam, M. Babul, Islam, Md Zahidul, Hossain, Md Arju and Moni, Mohammad Ali (2022). Systems Biology and Bioinformatics approach to Identify blood based signatures molecules and drug targets of patient with COVID-19. Informatics in Medicine Unlocked, 28 100840. doi: 10.1016/j.imu.2021.100840 |
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2021 Journal Article Cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life years for 29 cancer groups from 2010 to 2019: A systematic analysis for the Global Burden of Disease Study 2019Kocarnik, Jonathan M., Compton, Kelly, Dean, Frances E., Fu, Weijia, Gaw, Brian L., Harvey, James D., Henrikson, Hannah Jacqueline, Lu, Dan, Pennini, Alyssa, Xu, Rixing, Ababneh, Emad, Abbasi-Kangevari, Mohsen, Abbastabar, Hedayat, Abd-Elsalam, Sherief M., Abdoli, Amir, Abedi, Aidin, Abidi, Hassan, Abolhassani, Hassan, Adedeji, Isaac Akinkunmi, Adnani, Qorinah Estiningtyas Sakilah, Advani, Shailesh M., Afzal, Muhammad Sohail, Aghaali, Mohammad, Ahinkorah, Bright Opoku, Ahmad, Sajjad, Ahmad, Tauseef, Ahmadi, Ali, Ahmadi, Sepideh, Ahmed Rashid, Tarik ... Global Burden of Disease 2019 Cancer Collaboration (2021). Cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life years for 29 cancer groups from 2010 to 2019: A systematic analysis for the Global Burden of Disease Study 2019. JAMA Oncology, 8 (3), 420-444. doi: 10.1001/jamaoncol.2021.6987 |
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2021 Journal Article StackDPPIV: A novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptidesCharoenkwan, Phasit, Nantasenamat, Chanin, Hasan, Md Mehedi, Moni, Mohammad Ali, Lio', Pietro, Manavalan, Balachandran and Shoombuatong, Watshara (2021). StackDPPIV: A novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptides. Methods, 204, 189-198. doi: 10.1016/j.ymeth.2021.12.001 |
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2021 Journal Article Umpred-frl: a new approach for accurate prediction of umami peptides using feature representation learningCharoenkwan, Phasit, Nantasenamat, Chanin, Hasan, Md Mehedi, Moni, Mohammad Ali, Manavalan, Balachandran and Shoombuatong, Watshara (2021). Umpred-frl: a new approach for accurate prediction of umami peptides using feature representation learning. International Journal of Molecular Sciences, 22 (23) 13124, 13124. doi: 10.3390/ijms222313124 |
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2021 Journal Article The global burden of adolescent and young adult cancer in 2019: a systematic analysis for the Global Burden of Disease Study 2019GBD 2019 Adolescent Young Adult Cancer Collaborators, Wubishet, Befikadu Legesse and Moni, Mohammad Ali (2021). The global burden of adolescent and young adult cancer in 2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet. Oncology, 23 (1), 27-52. doi: 10.1016/S1470-2045(21)00581-7 |
