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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 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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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 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 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 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 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 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 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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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 |
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2021 Journal Article Machine learning-based statistical analysis for early stage detection of cervical cancerAli, Md Mamun, Ahmed, Kawsar, Bui, Francis M., Paul, Bikash Kumar, Ibrahim, Sobhy M., Quinn, Julian M.W. and Moni, Mohammad Ali (2021). Machine learning-based statistical analysis for early stage detection of cervical cancer. Computers in Biology and Medicine, 139 104985, 104985. doi: 10.1016/j.compbiomed.2021.104985 |
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2021 Journal Article In silico identification and characterization of AGO, DCL and RDR gene families and their associated regulatory elements in sweet orange (Citrus sinensis L.)Mosharaf, Md. Parvez, Rahman, Hafizur, Ahsan, Md. Asif, Akond, Zobaer, Ahmed, Fee Faysal, Islam, Md. Mazharul, Moni, Mohammad Ali and Mollah, Md. Nurul Haque (2021). In silico identification and characterization of AGO, DCL and RDR gene families and their associated regulatory elements in sweet orange (Citrus sinensis L.). PLoS One, 15 (12) e0228233. doi: 10.1371/journal.pone.0228233 |
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2021 Journal Article Identification of molecular biomarkers and pathways of NSCLC: insights from a systems biomedicine perspectiveIslam, Rakibul, Ahmed, Liton, Paul, Bikash Kumar, Ahmed, Kawsar, Bhuiyan, Touhid and Moni, Mohammad Ali (2021). Identification of molecular biomarkers and pathways of NSCLC: insights from a systems biomedicine perspective. Journal of Genetic Engineering and Biotechnology, 19 (1) 43, 43. doi: 10.1186/s43141-021-00134-1 |
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2021 Journal Article Stem cell therapies and benefaction of somatic cell nuclear transfer cloning in COVID-19 eraSingh, Birbal, Mal, Gorakh, Verma, Vinod, Tiwari, Ruchi, Khan, Muhammad Imran, Mohapatra, Ranjan K., Mitra, Saikat, Alyami, Salem A., Emran, Talha Bin, Dhama, Kuldeep and Moni, Mohammad Ali (2021). Stem cell therapies and benefaction of somatic cell nuclear transfer cloning in COVID-19 era. Stem Cell Research and Therapy, 12 (1) 283, 1-16. doi: 10.1186/s13287-021-02334-5 |
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2021 Journal Article LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT dataFaruqui, Nuruzzaman, Yousuf, Mohammad Abu, Whaiduzzaman, Md, Azad, A. K.M., Barros, Alistair and Moni, Mohammad Ali (2021). LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT data. Computers in Biology and Medicine, 139 104961, 104961. doi: 10.1016/j.compbiomed.2021.104961 |
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2021 Journal Article A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray imagesAhamed, Khabir Uddin, Islam, Manowarul, Uddin, Ashraf, Akhter, Arnisha, Paul, Bikash Kumar, Yousuf, Mohammad Abu, Uddin, Shahadat, Quinn, Julian M.W. and Moni, Mohammad Ali (2021). A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images. Computers in Biology and Medicine, 139 105014, 105014. doi: 10.1016/j.compbiomed.2021.105014 |
