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2021

Journal Article

Whole proteome screening and identification of potential epitopes of SARS-CoV-2 for vaccine design-an immunoinformatic, molecular docking and molecular dynamics simulation accelerated robust strategy

Ezaj, Md. Muzahid Ahmed, Junaid, Md., Akter, Yeasmin, Nahrin, Afsana, Siddika, Aysha, Afrose, Syeda Samira, Nayeem, S. M. Abdul, Haque, Md. Sajedul, Moni, Mohammad Ali and Hosen, S. M. Zahid (2021). Whole proteome screening and identification of potential epitopes of SARS-CoV-2 for vaccine design-an immunoinformatic, molecular docking and molecular dynamics simulation accelerated robust strategy. Journal of Biomolecular Structure and Dynamics, 40 (14), 1-26. doi: 10.1080/07391102.2021.1886171

Whole proteome screening and identification of potential epitopes of SARS-CoV-2 for vaccine design-an immunoinformatic, molecular docking and molecular dynamics simulation accelerated robust strategy

2021

Journal Article

Identifying the function of methylated genes in Alzheimer’s disease to determine epigenetic signatures: a comprehensive bioinformatics analysis

Rahman, Md Rezanur, Islam, Tania, Gov, Esra, Quinn, Julian M.W. and Moni, Mohammad Ali (2021). Identifying the function of methylated genes in Alzheimer’s disease to determine epigenetic signatures: a comprehensive bioinformatics analysis. Experimental Results, 2 e9, 1-13. doi: 10.1017/exp.2020.65

Identifying the function of methylated genes in Alzheimer’s disease to determine epigenetic signatures: a comprehensive bioinformatics analysis

2021

Conference Publication

Machine learning model to predict autism investigating eye-tracking dataset

Akter, Tania, Ali, Mohammad Hanif, Khan, Md. Imran, Satu, Md. Shahriare and Moni, Mohammad Ali (2021). Machine learning model to predict autism investigating eye-tracking dataset. 2nd International Conference on Robotics, Electrical and Signal Processing Techniques, ICREST 2021, Dhaka, Bangladesh, 5-7 January 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICREST51555.2021.9331152

Machine learning model to predict autism investigating eye-tracking dataset

2021

Journal Article

Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: The Right to Sight: an analysis for the Global Burden of Disease Study

Bourne, Rupert R.A., Steinmetz, Jaimie D., Saylan, Mete, Mersha, Abera M., Weldemariam, Abrha Hailay, Wondmeneh, Temesgen Gebeyehu, Sreeramareddy, Chandrashekhar T., Pinheiro, Marina, Yaseri, Mehdi, Yu, Chuanhua, Zastrozhin, Mikhail Sergeevich, Zastrozhina, Anasthasia, Zhang, Zhi-Jiang, Zimsen, Stephanie R.M., Yonemoto, Naohiro, Tsegaye, Gebiyaw Wudie, Vu, Giang Thu, Vongpradith, Avina, Renzaho, Andre M.N., Sorrie, Muluken Bekele, Shaheen, Amira A., Shiferaw, Wondimeneh Shibabaw, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Saya, Ganesh Kumar, Rahimi-Movaghar, Vafa, Shigematsu, Mika, Sahraian, Mohammad Ali, Naderifar, Homa ... GBD 2019 Blindness and Vision Impairment Collaborators on behalf of the Vision Loss Expert Group of the Global Burden of Disease Study (2021). Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: The Right to Sight: an analysis for the Global Burden of Disease Study. The Lancet Global Health, 9 (2), e144-e160. doi: 10.1016/S2214-109X(20)30489-7

Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: The Right to Sight: an analysis for the Global Burden of Disease Study

2021

Conference Publication

Improved machine learning based classification model for early autism detection

Akter, Tania, Khan, Md. Imran, Ali, Mohammad Hanif, Satu, Md. Shahriare, Uddin, Md. Jamal and Moni, Mohammad Ali (2021). Improved machine learning based classification model for early autism detection. 2nd International Conference on Robotics, Electrical and Signal Processing Techniques, ICREST 2021, Dhaka, Bangladesh, 5-7 January 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICREST51555.2021.9331013

Improved machine learning based classification model for early autism detection

2021

Journal Article

Computational formulation and immune dynamics of a multi-peptide vaccine candidate against Crimean-Congo hemorrhagic fever virus

Khan, Md. Shakil Ahmed, Nain, Zulkar, Syed, Shifath Bin, Abdulla, Faruq, Moni, Mohammad Ali, Sheam, Md. Moinuddin, Karim, Mohammad Minnatul and Adhikari, Utpal Kumar (2021). Computational formulation and immune dynamics of a multi-peptide vaccine candidate against Crimean-Congo hemorrhagic fever virus. Molecular and Cellular Probes, 55 101693. doi: 10.1016/j.mcp.2020.101693

Computational formulation and immune dynamics of a multi-peptide vaccine candidate against Crimean-Congo hemorrhagic fever virus

2021

Journal Article

Clinically applicable machine learning approaches to identify attributes of Chronic Kidney Disease (CKD) for use in low-cost diagnostic screening

Rashed-Al-Mahfuz, Md., Haque, Abedul, Azad, Akm, Alyami, Salem A., Quinn, Julian M. W. and Moni, Mohammad Ali (2021). Clinically applicable machine learning approaches to identify attributes of Chronic Kidney Disease (CKD) for use in low-cost diagnostic screening. IEEE Journal of Translational Engineering in Health and Medicine, 9 4900511, 1-11. doi: 10.1109/jtehm.2021.3073629

Clinically applicable machine learning approaches to identify attributes of Chronic Kidney Disease (CKD) for use in low-cost diagnostic screening

2021

Conference Publication

Machine learning and bioinformatics models to identify gene expression patterns of glioblastoma associated with disease progression and mortality

Choudhury, Zakia Zinat, Chowdhury, Utpala Nanda, Ahmad, Shamim, Islam, M. Babul, Quinn, Julian M.W. and Moni, Mohammad Ali (2021). Machine learning and bioinformatics models to identify gene expression patterns of glioblastoma associated with disease progression and mortality. International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering, Rajshahi, Bangladesh, 26-27 December 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IC4ME253898.2021.9768525

Machine learning and bioinformatics models to identify gene expression patterns of glioblastoma associated with disease progression and mortality

2021

Journal Article

Attribute driven temporal active online community search

Das, Badhan Chandra, Anwar, Md. Musfique, Bhuiyan, Md. Al-Amin, Sarker, Iqbal H., Alyami, Salem A. and Moni, Mohammad Ali (2021). Attribute driven temporal active online community search. IEEE Access, 9, 93976-93989. doi: 10.1109/access.2021.3093368

Attribute driven temporal active online community search

2021

Journal Article

Genome-wide integrative analysis reveals common molecular signatures in blood and brain of alzheimer’s disease

Rahman, Md Rezanur, Islam, Tania, Shahjaman, Md, Rana, Md Humayun Kabir, Holsinger, R. M. Damian, Quinn, Julian M. W., Gov, Esra and Moni, Mohammad Ali (2021). Genome-wide integrative analysis reveals common molecular signatures in blood and brain of alzheimer’s disease. Biointerface Research in Applied Chemistry, 11 (2), 8686-8701. doi: 10.33263/BRIAC112.86868701

Genome-wide integrative analysis reveals common molecular signatures in blood and brain of alzheimer’s disease

2021

Journal Article

A deep convolutional neural network method to detect seizures and characteristic frequencies using Epileptic Electroencephalogram (EEG) data

Rashed-Al-Mahfuz, Md., Moni, Mohammad Ali, Uddin, Shahadat, Alyami, Salem A., Summers, Matthew A. and Eapen, Valsamma (2021). A deep convolutional neural network method to detect seizures and characteristic frequencies using Epileptic Electroencephalogram (EEG) data. IEEE Journal of Translational Engineering in Health and Medicine, 9 9319690, 1-12. doi: 10.1109/jtehm.2021.3050925

A deep convolutional neural network method to detect seizures and characteristic frequencies using Epileptic Electroencephalogram (EEG) data

2021

Journal Article

A computational approach to design potential siRNA molecules as a prospective tool for silencing nucleocapsid phosphoprotein and surface glycoprotein gene of SARS-CoV-2

Chowdhury, Umar Faruq, Sharif Shohan, Mohammad Umer, Hoque, Kazi Injamamul, Beg, Mirza Ashikul, Sharif Siam, Mohammad Kawsar and Moni, Mohammad Ali (2021). A computational approach to design potential siRNA molecules as a prospective tool for silencing nucleocapsid phosphoprotein and surface glycoprotein gene of SARS-CoV-2. Genomics, 113 (1 Part 1), 331-343. doi: 10.1016/j.ygeno.2020.12.021

A computational approach to design potential siRNA molecules as a prospective tool for silencing nucleocapsid phosphoprotein and surface glycoprotein gene of SARS-CoV-2

2021

Conference Publication

Survival prediction for prostate cancer using machine learning and bioinformatics models

Chowdhury, Utpala Nanda, Ahmad, Shamim, Islam, M. Babul and Moni, Mohammad Ali (2021). Survival prediction for prostate cancer using machine learning and bioinformatics models. 2021 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), Rajshahi, Bangladesh, 26-27 December 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/IC4ME253898.2021.9768443

Survival prediction for prostate cancer using machine learning and bioinformatics models

2021

Conference Publication

COVID-Hero: machine learning based COVID-19 awareness enhancement mobile game for children

Satu, Md. Shahriare, Mizan, K. Shayekh Ebne, Jerin, Syeda Anika, Whaiduzzaman, Md, Barros, Alistair, Ahmed, Kawsar and Moni, Mohammad Ali (2021). COVID-Hero: machine learning based COVID-19 awareness enhancement mobile game for children. First International Conference on Applied Intelligence and Informatics, AII 2021, Online, 30-31 July 2021. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-82269-9_25

COVID-Hero: machine learning based COVID-19 awareness enhancement mobile game for children

2021

Journal Article

Ensemble of Convolutional Neural Networks to diagnose Acute Lymphoblastic Leukemia from microscopic images

Mondal, Chayan, Hasan, Md. Kamrul, Ahmad, Mohiuddin, Awal, Md. Abdul, Jawad, Md. Tasnim, Dutta, Aishwariya, Islam, Md. Rabiul and Moni, Mohammad Ali (2021). Ensemble of Convolutional Neural Networks to diagnose Acute Lymphoblastic Leukemia from microscopic images. Informatics in Medicine Unlocked, 27 100794, 100794. doi: 10.1016/j.imu.2021.100794

Ensemble of Convolutional Neural Networks to diagnose Acute Lymphoblastic Leukemia from microscopic images

2020

Conference Publication

Drug compound prediction-based analysis of cigarette smoking to Pancreatic Cancer patients: a bioinformatics study

Taz, Tasnimul Alam, Kawsar, Md, Siddique, Sinthia, Ahmed, Kawsar, Moni, Mohammad Ali and Paul, Bikash Kumar (2020). Drug compound prediction-based analysis of cigarette smoking to Pancreatic Cancer patients: a bioinformatics study. IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE), Bhubaneswar, India, 26-27 December 2020. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/WIECON-ECE52138.2020.9397979

Drug compound prediction-based analysis of cigarette smoking to Pancreatic Cancer patients: a bioinformatics study

2020

Conference Publication

Bioinformatics approach to analyze gene expression profile and comorbidities of gastric cancer

Datta, Ratri, Podder, Nitun Kumar, Rana, Humayan Kabir, Islam, Md Khaled Ben and Moni, Mohammad Ali (2020). Bioinformatics approach to analyze gene expression profile and comorbidities of gastric cancer. 2020 23rd International Conference on Computer and Information Technology (ICCIT), Dhaka, Bangladesh, 19-21 December 2020. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICCIT51783.2020.9392587

Bioinformatics approach to analyze gene expression profile and comorbidities of gastric cancer

2020

Journal Article

Gene expression profiling of SARS-CoV-2 infections reveal distinct primary lung cell and systemic immune infection responses that identify pathways relevant in COVID-19 disease

Moni, Mohammad Ali, Quinn, Julian M. W., Sinmaz, Nese and Summers, Matthew A. (2020). Gene expression profiling of SARS-CoV-2 infections reveal distinct primary lung cell and systemic immune infection responses that identify pathways relevant in COVID-19 disease. Briefings in Bioinformatics, 22 (2), 1324-1337. doi: 10.1093/bib/bbaa376

Gene expression profiling of SARS-CoV-2 infections reveal distinct primary lung cell and systemic immune infection responses that identify pathways relevant in COVID-19 disease

2020

Conference Publication

Identifying the stability of couple relationship applying different machine learning techniques

Satu, Md. Shahriare, Howlader, K. C., Hosen, Md Parvej, Chowdhury, Noton and Moni, Mohammad Ali (2020). Identifying the stability of couple relationship applying different machine learning techniques. 2020 11th International Conference on Electrical and Computer Engineering (ICECE), Dhaka, Bangladesh, 17-19 December 2020. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICECE51571.2020.9393131

Identifying the stability of couple relationship applying different machine learning techniques

2020

Journal Article

Machine learning and bioinformatics models to identify pathways that mediate influences of welding fumes on cancer progression

Rana, Humayan Kabir, Akhtar, Mst. Rashida, Islam, M. Babul, Ahmed, Mohammad Boshir, Lió, Pietro, Huq, Fazlul, Quinn, Julian M. W. and Moni, Mohammad Ali (2020). Machine learning and bioinformatics models to identify pathways that mediate influences of welding fumes on cancer progression. Scientific Reports, 10 (1) 2795, 2795. doi: 10.1038/s41598-020-57916-9

Machine learning and bioinformatics models to identify pathways that mediate influences of welding fumes on cancer progression