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2020 Journal Article Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000-17Deshpande, Aniruddha, Miller-Petrie, Molly K., Lindstedt, Paulina A., Baumann, Mathew M., Johnson, Kimberly B., Blacker, Brigette F., Abbastabar, Hedayat, Abd-Allah, Foad, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abegaz, Kedir Hussein, Abejie, Ayenew Negesse, Abreu, Lucas Guimaraes, Abrigo, Michael R. M., Abualhasan, Ahmed, Accrombessi, Manfred Mario Kokou, Adamu, Abdu A., Adebayo, Oladimeji M., Adedeji, Isaac Akinkunmi, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O., Adhikari, Tara Ballav, Afarideh, Mohsen, Agudelo-Botero, Marcela, Ahmadi, Mehdi, Ahmadi, Keivan, Ahmed, Muktar Beshir, Ahmed, Anwar E. ... Reiner, Robert C. (2020). Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000-17. Lancet Global Health, 8 (9), E1162-E1185. |
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2020 Journal Article Detection of molecular signatures and pathways shared in inflammatory bowel disease and colorectal cancer: A bioinformatics and systems biology approachAl-Mustanjid, Md., Mahmud, S.M. Hasan, Royel, Md. Rejaul Islam, Rahman, Md. Habibur, Islam, Tania, Rahman, Md. Rezanur and Moni, Mohammad Ali (2020). Detection of molecular signatures and pathways shared in inflammatory bowel disease and colorectal cancer: A bioinformatics and systems biology approach. Genomics, 112 (5), 3416-3426. doi: 10.1016/j.ygeno.2020.06.001 |
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2020 Journal Article Pathogenetic profiling of COVID-19 and SARS-like virusesNain, Zulkar, Rana, Humayan Kabir, Liò, Pietro, Islam, Sheikh Mohammed Shariful, Summers, Matthew A and Moni, Mohammad Ali (2020). Pathogenetic profiling of COVID-19 and SARS-like viruses. Briefings in Bioinformatics, 22 (2), 1175-1196. doi: 10.1093/bib/bbaa173 |
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2020 Journal Article Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000-17: analysis for the Global Burden of Disease Study 2017Reiner, Robert C., Wiens, Kirsten E., Deshpande, Aniruddha, Baumann, Mathew M., Lindstedt, Paulina A., Blacker, Brigette F., Troeger, Christopher E., Earl, Lucas, Munro, Sandra B., Abate, Degu, Abbastabar, Hedayat, Abd-Allah, Foad, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Getaneh, Abegaz, Kedir Hussein, Abreu, Lucas Guimaraes, Abrigo, Michael R. M., Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Adabi, Maryam, Adebayo, Oladimeji M., Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O., Adham, Davoud, Adhena, Beyene Meressa, Afarideh, Mohsen ... Hay, Simon I. (2020). Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000-17: analysis for the Global Burden of Disease Study 2017. Lancet, 395 (10239), 1779-1801. doi: 10.1016/S0140-6736(20)30114-8 |
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2020 Journal Article A systematic review of network studies based on administrative health dataKarim, Shakir, Uddin, Shahadat, Imam, Tasadduq and Moni, Mohammad Ali (2020). A systematic review of network studies based on administrative health data. International Journal of Environmental Research and Public Health, 17 (7) 2568, 2568. doi: 10.3390/ijerph17072568 |
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2020 Journal Article Computational prediction of protein ubiquitination sites mapping on Arabidopsis thalianaMosharaf, Md. Parvez, Hassan, Md. Mehedi, Ahmed, Fee Faysal, Khatun, Mst. Shamima, Moni, Mohammad Ali and Mollah, Md. Nurul Haque (2020). Computational prediction of protein ubiquitination sites mapping on Arabidopsis thaliana. Computational Biology and Chemistry, 85 107238. doi: 10.1016/j.compbiolchem.2020.107238 |
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2020 Journal Article Advanced treatment technologies efficacies and mechanism of per- and poly-fluoroalkyl substances removal from waterAhmed, Mohammad Boshir, Alam, Md. Masruck, Zhou, John L., Xu, Bentuo, Johir, Md Abu Hasan, Karmakar, Aneek Krishna, Rahman, Md. Saifur, Hossen, Jewel, Hasan, A.T.M. Kamrul and Moni, Mohammad Ali (2020). Advanced treatment technologies efficacies and mechanism of per- and poly-fluoroalkyl substances removal from water. Process Safety and Environmental Protection, 136, 1-14. doi: 10.1016/j.psep.2020.01.005 |
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2020 Journal Article Network-based computational approach to identify genetic links between cardiomyopathy and its risk factorsHaidar, M. Nasim, Islam, M. Babul, Chowdhury, Utpala Nanda, Rahman, M. Rezanur, Huq, Fazlul, Quinn, Julian M.W. and Moni, Mohammad Ali (2020). Network-based computational approach to identify genetic links between cardiomyopathy and its risk factors. IET Systems Biology, 14 (2), 75-84. doi: 10.1049/iet-syb.2019.0074 |
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2020 Journal Article Identification of molecular signatures and pathways to identify novel therapeutic targets in Alzheimer's disease: Insights from a systems biomedicine perspectiveRahman, Md. Rezanur, Islam, Tania, Zaman, Toyfiquz, Shahjaman, Md., Karim, Md. Rezaul, Huq, Fazlul, Quinn, Julian M.W., Holsinger, R.M. Damian, Gov, Esra and Moni, Mohammad Ali (2020). Identification of molecular signatures and pathways to identify novel therapeutic targets in Alzheimer's disease: Insights from a systems biomedicine perspective. Genomics, 112 (2), 1290-1299. doi: 10.1016/j.ygeno.2019.07.018 |
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2020 Journal Article Network-based genetic profiling reveals cellular pathway differences between follicular thyroid carcinoma and follicular thyroid adenomaHossain, Md. Ali, Asa, Tania Akter, Rahman, Md. Mijanur, Uddin, Shahadat, Moustafa, Ahmed A., Quinn, Julian M. W. and Moni, Mohammad Ali (2020). Network-based genetic profiling reveals cellular pathway differences between follicular thyroid carcinoma and follicular thyroid adenoma. International Journal of Environmental Research and Public Health, 17 (4) 1373, 1373. doi: 10.3390/ijerph17041373 |
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2020 Journal Article A network-based bioinformatics approach to identify molecular biomarkers for type 2 diabetes that are linked to the progression of neurological diseasesRahman, Md Habibur, Peng, Silong, Hu, Xiyuan, Chen, Chen, Rahman, Md Rezanur, Uddin, Shahadat, Quinn, Julian M. W. and Moni, Mohammad Ali (2020). A network-based bioinformatics approach to identify molecular biomarkers for type 2 diabetes that are linked to the progression of neurological diseases. International Journal of Environmental Research and Public Health, 17 (3) 1035, 1-25. doi: 10.3390/ijerph17031035 |
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2020 Journal Article A framework to understand the progression of cardiovascular disease for type 2 diabetes mellitus patients using a network approachHossain, Md Ekramul, Uddin, Shahadat, Khan, Arif and Moni, Mohammad Ali (2020). A framework to understand the progression of cardiovascular disease for type 2 diabetes mellitus patients using a network approach. International Journal of Environmental Research and Public Health, 17 (2) 596, 596. doi: 10.3390/ijerph17020596 |
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2020 Journal Article Network-based identification of genetic factors in ageing, lifestyle and type 2 diabetes that influence to the progression of Alzheimer's diseaseChowdhury, Utpala Nanda, Islam, M. Babul, Ahmad, Shamim and Moni, Mohammad Ali (2020). Network-based identification of genetic factors in ageing, lifestyle and type 2 diabetes that influence to the progression of Alzheimer's disease. Informatics in Medicine Unlocked, 19 100309. doi: 10.1016/j.imu.2020.100309 |
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2020 Journal Article Systems biology and bioinformatics approach to identify gene signatures, pathways and therapeutic targets of Alzheimer's diseaseChowdhury, Utpala Nanda, Islam, M. Babul, Ahmad, Shamim and Moni, Mohammad Ali (2020). Systems biology and bioinformatics approach to identify gene signatures, pathways and therapeutic targets of Alzheimer's disease. Informatics in Medicine Unlocked, 21 100439. doi: 10.1016/j.imu.2020.100439 |
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2020 Journal Article Network-based computational approach to identify delineating common cell pathways influencing type 2 diabetes and diseases of bone and jointsMoni, Mohammad Ali, Islam, M. Babul, Rahman, Md Rezanur, Rashed-Al-Mahfuz, Md, Awal, Md Abdul, Islam, Sheikh Mohammed Shariful, Mollah, Md. Nurul Haque and Quinn, Julian M. W. (2020). Network-based computational approach to identify delineating common cell pathways influencing type 2 diabetes and diseases of bone and joints. IEEE Access, 8 8941110, 1486-1497. doi: 10.1109/ACCESS.2019.2962091 |
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2020 Journal Article A systems biology approach to identifying genetic factors affected by aging, lifestyle factors, and type 2 diabetes that influences Parkinson's disease progressionSakib, Najmus, Chowdhury, Utpala Nanda, Islam, M. Babul, Ahmad, Shamim and Moni, Mohammad Ali (2020). A systems biology approach to identifying genetic factors affected by aging, lifestyle factors, and type 2 diabetes that influences Parkinson's disease progression. Informatics in Medicine Unlocked, 21 100448. doi: 10.1016/j.imu.2020.100448 |
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2020 Journal Article Identification of the core ontologies and signature genes of polycystic ovary syndrome (PCOS): a bioinformatics analysisIslam, Md Rakibul, Ahmed, Md Liton, Kumar Paul, Bikash, Bhuiyan, Touhid, Ahmed, Kawsar and Moni, Mohammad Ali (2020). Identification of the core ontologies and signature genes of polycystic ovary syndrome (PCOS): a bioinformatics analysis. Informatics in Medicine Unlocked, 18 100304. doi: 10.1016/j.imu.2020.100304 |
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2019 Journal Article Comparing different supervised machine learning algorithms for disease predictionUddin, Shahadat, Khan, Arif, Hossain, Md Ekramul and Moni, Mohammad Ali (2019). Comparing different supervised machine learning algorithms for disease prediction. BMC Medical Informatics and Decision Making, 19 (1) 281. doi: 10.1186/s12911-019-1004-8 |
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2019 Journal Article Bioinformatics methodologies to identify interactions between Type 2 diabetes and neurological comorbiditiesRahman, Md Habibur, Peng, Silong, Hu, Xiyuan, Chen, Chen, Uddin, Shahadat, Quinn, Julian M. W. and Moni, Mohammad Ali (2019). Bioinformatics methodologies to identify interactions between Type 2 diabetes and neurological comorbidities. IEEE Access, 7 8933380, 183948-183970. doi: 10.1109/ACCESS.2019.2960037 |
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2019 Journal Article Machine learning and bioinformatics models to identify gene expression patterns of ovarian cancer associated with disease progression and mortalityHossain, Md. Ali, Saiful Islam, Sheikh Muhammad, Quinn, Julian M.W., Huq, Fazlul and Moni, Mohammad Ali (2019). Machine learning and bioinformatics models to identify gene expression patterns of ovarian cancer associated with disease progression and mortality. Journal of Biomedical Informatics, 100 103313, 103313. doi: 10.1016/j.jbi.2019.103313 |
