A Network-Based Approach to Identify Molecular Signatures and Comorbidities of Thyroid Cancer. - Md. Ali Hossain; Tania Akter Asa; Fazlul Huq; Julian M. W. Quinn; Mohammad Ali Moni (IJCCI, 2018)

Machine Learning-Based Models for Early Stage Detection of Autism Spectrum Disorders. - Tania Akter; Md. Shahriare Satu; Md. Imran Khan; Mohammad Hanif Ali; Shahadat Uddin; Pietro Lió; Julian M. W. Quinn; Mohammad Ali Moni (IEEE Access, 2019)

Bioinformatics Methodologies to Identify Interactions Between Type 2 Diabetes and Neurological Comorbidities. - Md. Habibur Rahman; Silong Peng; Xiyuan Hu; Chen Chen 036; Shahadat Uddin; Julian M. W. Quinn; Mohammad Ali Moni (IEEE Access, 2019)

A computational approach to identify blood cell-expressed Parkinson's disease biomarkers that are coordinately expressed in brain tissue. - Mohammad Ali Moni; Humayan Kabir Rana; M. Babul Islam; Mohammad Boshir Ahmed; Haoming Xu; Md. Al Mehedi Hasan; Yiming Lei; Julian M. W. Quinn (Comput. Biol. Medicine, 2019)

Genetic effects of welding fumes on the development of respiratory system diseases. - Humayan Kabir Rana; Mst. Rashida Akhtar; M. Babul Islam; Mohammad Boshir Ahmed; Pietro Liò; Julian M. W. Quinn; Fazlul Huq; Mohammad Ali Moni (Comput. Biol. Medicine, 2019)

Machine learning and bioinformatics models to identify gene expression patterns of ovarian cancer associated with disease progression and mortality. - Md. Ali Hossain; Sheikh Muhammad Saiful Islam; Julian M. W. Quinn; Fazlul Huq; Mohammad Ali Moni (J. Biomed. Informatics, 2019)

A fast iris recognition system through optimum feature extraction. - Humayan Kabir Rana; Md. Shafiul Azam; Mst. Rashida Akhtar; Julian M. W. Quinn; Mohammad Ali Moni (PeerJ Prepr., 2019)

Network-Based Computational Approach to Identify Delineating Common Cell Pathways Influencing Type 2 Diabetes and Diseases of Bone and Joints. - Mohammad Ali Moni; M. Babul Islam; Md. Rezanur Rahman; Md Rashed-Al-Mahfuz; Md. Abdul Awal; Sheikh Mohammed Shariful Islam; Md. Nurul Haque Mollah; Julian M. W. Quinn (IEEE Access, 2020)

Machine Learning and Meta-Analysis Approach to Identify Patient Comorbidities and Symptoms that Increased Risk of Mortality in COVID-19. - Sakifa Aktar; Ashis Talukder; Md. Martuza Ahamad; A. H. M. Kamal; Jahidur Rahman Khan; Md. Protikuzzaman; Nasif Hossain; Julian M. W. Quinn; Matthew A. Summers; Teng Liaw; Valsamma Eapen; Mohammad Ali Moni (CoRR, 2020)

Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data. - Sakifa Aktar; Md. Martuza Ahamad; Md Rashed-Al-Mahfuz; A. K. M. Azad; Shahadat Uddin; A. H. M. Kamal; Salem A. Alyami; Ping-I Lin; Sheikh Mohammed Shariful Islam; Julian M. W. Quinn; Valsamma Eapen; Mohammad Ali Moni (CoRR, 2020)

A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients. - Md. Martuza Ahamad; Sakifa Aktar; Md Rashed-Al-Mahfuz; Shahadat Uddin; Pietro Liò; Haoming Xu; Matthew A. Summers; Julian M. W. Quinn; Mohammad Ali Moni (Expert Syst. Appl., 2020)

Lung cancer detection using enhanced segmentation accuracy. - Onika Akter; Mohammad Ali Moni; Mohammad Mahfuzul Islam; Julian M. W. Quinn; A. H. M. Kamal (Appl. Intell., 2021)

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. - Mohammad Ali Moni; Julian M. W. Quinn; Nese Sinmaz; Matthew A. Summers (Briefings Bioinform., 2021)

Transcriptomic studies revealed pathophysiological impact of COVID-19 to predominant health conditions. - Zulkar Nain; Shital K. Barman; Md Moinuddin Sheam; Shifath Bin Syed; Abdus Samad; Julian M. W. Quinn; Mohammad Minnatul Karim; Mahbubul Kabir Himel; Rajib Kanti Roy; Mohammad Ali Moni; Sudhangshu Kumar Biswas (Briefings Bioinform., 2021)

Bioinformatics and system biology approach to identify the influences of COVID-19 on cardiovascular and hypertensive comorbidities. - Asif Nashiry; Shauli Sarmin Sumi; Salequl Islam; Julian M. W. Quinn; Mohammad Ali Moni (Briefings Bioinform., 2021)

Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression. - Md. Habibur Rahman; Humayan Kabir Rana; Silong Peng; Xiyuan Hu; Chen Chen 036; Julian M. W. Quinn; Mohammad Ali Moni (Briefings Bioinform., 2021)

Diseasome and comorbidities complexities of SARS-CoV-2 infection with common malignant diseases. - Md. Shahriare Satu; Md. Imran Khan; Md. Rezanur Rahman; Koushik Chandra Howlader; Shatabdi Roy; Shuvo Saha Roy; Julian M. W. Quinn; Mohammad Ali Moni (Briefings Bioinform., 2021)

A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images. - Khabir Uddin Ahamed; Manowarul Islam; Ashraf Uddin 004; Arnisha Akhter; Bikash Kumar Paul; Mohammad Abu Yousuf; Shahadat Uddin; Julian M. W. Quinn; Mohammad Ali Moni (Comput. Biol. Medicine, 2021)

Machine learning-based statistical analysis for early stage detection of cervical cancer. - Md Mamun Ali; Kawsar Ahmed; Francis M. Bui; Bikash Kumar Paul; Sobhy M. Ibrahim; Julian M. W. Quinn; Mohammad Ali Moni (Comput. Biol. Medicine, 2021)

Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison. - Md Mamun Ali; Bikash Kumar Paul; Kawsar Ahmed; Francis M. Bui; Julian M. W. Quinn; Mohammad Ali Moni (Comput. Biol. Medicine, 2021)

Machine learning and network-based models to identify genetic risk factors to the progression and survival of colorectal cancer. - Md. Jakir Hossain; Utpala Nanda Chowdhury; M. Babul Islam; Shahadat Uddin; Mohammad Boshir Ahmed; Julian M. W. Quinn; Mohammad Ali Moni (Comput. Biol. Medicine, 2021)

Recognition of human emotions using EEG signals: A review. - Md. Mustafizur Rahman; Ajay Krishno Sarkar; Md. Amzad Hossain; Md. Selim Hossain; Md. Rabiul Islam 007; Md. Biplob Hossain; Julian M. W. Quinn; Mohammad Ali Moni (Comput. Biol. Medicine, 2021)

TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets. - Md. Shahriare Satu; Md. Imran Khan; Mufti Mahmud; Shahadat Uddin; Matthew A. Summers; Julian M. W. Quinn; Mohammad Ali Moni (Knowl. Based Syst., 2021)

Machine learning models for classification and identification of significant attributes to detect type 2 diabetes. - Koushik Chandra Howlader; Md. Shahriare Satu; Md. Abdul Awal; Md. Rabiul Islam 001; Sheikh Mohammed Shariful Islam; Julian M. W. Quinn; Mohammad Ali Moni (Health Inf. Sci. Syst., 2022)

HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN. - Md. Shofiqul Islam; Khondokar Fida Hasan; Sunjida Sultana; Shahadat Uddin; Pietro Lio'; Julian M. W. Quinn; Mohammad Ali Moni (Neural Networks, 2023)

consHLA: a next generation sequencing consensus-based HLA typing workflow. - Rachel Bowen-James; Weilin Wu; Marie Wong-Erasmus; Julian M. W. Quinn; Chelsea Mayoh; Mark J. Cowley (BMC Bioinform., 2025)