comoR: a software for disease comorbidity risk assessment

Tekijä Moni, Mohammad Ali, Liò, Pietro
Julkaistu 2014

Network-based analysis of comorbidities risk during an infection: SARS and HIV case studies

Tekijä Moni, Mohammad Ali, Liò, Pietro
Julkaisussa BMC Bioinformatics (2014)

How to build personalized multi-omics comorbidity profiles

Tekijä Moni, Mohammad Ali, Liò, Pietro
Julkaisussa Front Cell Dev Biol (2015)

CytoCom: a Cytoscape app to visualize, query and analyse disease comorbidity networks

Tekijä Moni, Mohammad Ali, Xu, Haoming, Liò, Pietro
Julkaisussa Bioinformatics (2015)

A Systematic Review of Network Studies Based on Administrative Health Data

Tekijä Karim, Shakir, Uddin, Shahadat, Imam, Tasadduq, Moni, Mohammad Ali
Julkaisussa Int J Environ Res Public Health (2020)

Comparing different supervised machine learning algorithms for disease prediction

Tekijä Uddin, Shahadat, Khan, Arif, Hossain, Md Ekramul, Moni, Mohammad Ali
Julkaisussa BMC Med Inform Decis Mak (2019)

A Framework to Understand the Progression of Cardiovascular Disease for Type 2 Diabetes Mellitus Patients Using a Network Approach

Tekijä Hossain, Md Ekramul, Uddin, Shahadat, Khan, Arif, Moni, Mohammad Ali
Julkaisussa Int J Environ Res Public Health (2020)

Differential impacts of R5 vs. X4 HIV-1 on the transcriptome of primary CD4+ T cells

Tekijä Moni, Mohammad Ali, Mariani, Samanta, Poli, Guido, Liò, Pietro, Vicenzi, Elisa
Julkaistu 2013

How did socio-demographic status and personal attributes influence compliance to COVID-19 preventive behaviours during the early outbreak in Japan? Lessons for pandemic management

Tekijä Uddin, Shahadat, Imam, Tasadduq, Khushi, Matloob, Khan, Arif, Moni, Mohammad Ali
Julkaisussa Pers Individ Dif (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

Tekijä Moni, Mohammad Ali, Quinn, Julian M W, Sinmaz, Nese, Summers, Matthew A
Julkaisussa Brief Bioinform (2020)

COVID-19 patient transcriptomic and genomic profiling reveals comorbidity interactions with psychiatric disorders

Tekijä Moni, Mohammad Ali, Lin, Ping-I, Quinn, Julian M. W., Eapen, Valsamma
Julkaisussa Transl Psychiatry (2021)

Identifying Subgroups of Patients With Autism by Gene Expression Profiles Using Machine Learning Algorithms

Tekijä Lin, Ping-I, Moni, Mohammad Ali, Gau, Susan Shur-Fen, Eapen, Valsamma
Julkaisussa Front Psychiatry (2021)

Modelling osteomyelitis

Tekijä Liò, Pietro, Paoletti, Nicola, Moni, Mohammad Ali, Atwell, Kathryn, Merelli, Emanuela, Viceconti, Marco
Julkaistu 2012

Bioinformatics and machine learning approach identifies potential drug targets and pathways in COVID-19

Tekijä Auwul, Md Rabiul, Rahman, Md Rezanur, Gov, Esra, Shahjaman, Md, Moni, Mohammad Ali
Julkaisussa Brief Bioinform (2021)

Integrative Systems Biology Approaches to Identify Potential Biomarkers and Pathways of Cervical Cancer

Tekijä Oany, Arafat Rahman, Mia, Mamun, Pervin, Tahmina, Alyami, Salem Ali, Moni, Mohammad Ali
Julkaisussa J Pers Med (2021)

Bioinformatics and system biology approach to identify the influences of COVID-19 on cardiovascular and hypertensive comorbidities

Tekijä Nashiry, Asif, Sarmin Sumi, Shauli, Islam, Salequl, Quinn, Julian M W, Moni, Mohammad Ali
Julkaisussa Brief Bioinform (2021)

Identification of molecular biomarkers and pathways of NSCLC: insights from a systems biomedicine perspective

Tekijä Islam, Rakibul, Ahmed, Liton, Paul, Bikash Kumar, Ahmed, Kawsar, Bhuiyan, Touhid, Moni, Mohammad Ali
Julkaisussa J Genet Eng Biotechnol (2021)

Design of novel viral attachment inhibitors of the spike glycoprotein (S) of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) through virtual screening and dynamics

Tekijä Oany, Arafat Rahman, Mia, Mamun, Pervin, Tahmina, Junaid, Md., Hosen, S. M. Zahid, Moni, Mohammad Ali
Julkaisussa Int J Antimicrob Agents (2020)

A fast iris recognition system through optimum feature extraction

Tekijä Rana, Humayan Kabir, Azam, Md. Shafiul, Akhtar, Mst. Rashida, Quinn, Julian M.W., Moni, Mohammad Ali
Julkaisussa PeerJ Comput Sci (2019)

PredNTS: Improved and Robust Prediction of Nitrotyrosine Sites by Integrating Multiple Sequence Features

Tekijä Nilamyani, Andi Nur, Auliah, Firda Nurul, Moni, Mohammad Ali, Shoombuatong, Watshara, Hasan, Md Mehedi, Kurata, Hiroyuki
Julkaisussa Int J Mol Sci (2021)