Dr A. K. M. Azad
Dr A. K. M. Azad
Lecturer, Swinburne University of Technology Sydney, Australia
Verified email at swin.edu.au
Cited by
Cited by
Prediction of plant promoters based on hexamers and random triplet pair analysis
AKM Azad, S Shahid, N Noman, H Lee
Algorithms for Molecular Biology 6 (1), 1-10, 2011
Prediction of signaling cross-talks contributing to acquired drug resistance in breast cancer cells by Bayesian statistical modeling
AKM Azad, A Lawen, JM Keith
BMC systems biology 9 (1), 1-17, 2015
Bayesian model of signal rewiring reveals mechanisms of gene dysregulation in acquired drug resistance in breast cancer
AKM Azad, A Lawen, JM Keith
PLoS One 12 (3), e0173331, 2017
BARD: A Structured Technique for Group Elicitation of Bayesian Networks to Support Analytic Reasoning
EP Nyberg, AE Nicholson, KB Korb, M Wybrow, I Zukerman, S Mascaro, ...
Risk Analysis, 2021
Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development
S Aktar, MM Ahamad, M Rashed-Al-Mahfuz, A Azad, S Uddin, ...
JMIR Medical Informatics, 2021
Voting-based cancer module identification by combining topological and data-driven properties
AKM Azad, H Lee
PLoS One 8 (8), e70498, 2013
A comprehensive integrated drug similarity resource for in-silico drug repositioning and beyond
AKM Azad, M Dinarvand, A Nematollahi, J Swift, L Lutze-Mann, F Vafaee
Briefings in Bioinformatics, 2020
Emotion Recognition from EEG Signal Focusing on Deep Learning and Shallow Learning Techniques
MR Islam, MA Moni, MM Islam, M Rashed-Al-Mahfuz, MS Islam, ...
IEEE Access 9, 94601-94624, 2021
A Human-Robot Interaction System Calculating Visual Focus of Human’s Attention Level
MA Chakraborty, Partha and Ahmed, Sabbir and Yousuf, Mohammad Abu and Azad ...
IEEE Access, https://doi.org/10.1109/ACCESS.2021.3091, 2021
Improved Transfer-Learning-Based Facial Recognition Framework to Detect Autistic Children at an Early Stage
T Akter, MH Ali, MI Khan, MS Satu, MJ Uddin, SA Alyami, S Ali, AKM Azad, ...
Brain Sciences 11, 6, 2021
Adverse effects of COVID-19 vaccination: machine learning and statistical approach to identify and classify incidences of morbidity and post-vaccination reactogenicity
MAM Md. Martuza Ahamad, Sakifa Aktar, Md. Jamal Uddin, Md. Rashed-Al-Mahfuz ...
medRxiv, https://doi.org/10.1101/2021.04.16.21255, 2021
Real-time time-series modelling for prediction of COVID-19 spread and intervention assessment
TH Rashidi, S Shahriari, AKM Azad, F Vafaee
medRxiv, 2020
The neighborhood MCMC sampler for learning bayesian networks
SA Alyami, AKM Azad, JM Keith
First International Workshop on Pattern Recognition 10011, 100111K, 2016
Machine Learning Approaches to Identify Patient Comorbidities and Symptoms That Increased Risk of Mortality in COVID-19
MA Aktar, Sakifa and Talukder, Ashis and Ahamad, Md. Martuza and Kamal, A. H ...
Diagnostics 11 (8), 2021
An Integrative Resource for Network-Based Investigation of COVID-19 Combinatorial Drug Repositioning and Mechanism of Action
AKM AZAD, S Fatima, F Vafaee
Patterns, Cell Press, 2021
Bioinformatics and system biology approaches to identify the diseasome and comorbidities complexities of SARS-CoV-2 infection with the digestive tract disorders
MA Nashiry, SS Sumi, MUS Shohan, SA Alyami, AKM Azad, MA Moni
Briefings in Bioinformatics, 2021
Clinically applicable machine learning approaches to identify attributes of Chronic Kidney Disease (CKD) for use in low-cost diagnostic screening
M Rashed-Al-Mahfuz, A Haque, AKM Azad, SA Alyami, JMW Quinn, ...
IEEE Journal of Translational Engineering in Health and Medicine, 1 -1, 2021
Cross-talk categorisations in data-driven models of signalling networks: A system-level view
AKM Azad, A Lawen, JM Keith
Gene Expression and Regulation in Mammalian Cells: Transcription From …, 2018
KPGminer: A tool for retrieving pathway genes from KEGG pathway database
AKM Azad
bioRxiv, 416131, 2018
Effects of Bacille Calmette Guerin (BCG) vaccination during COVID-19 infection
UN Chowdhury, MO Faruqe, M Mehedy, S Ahmad, MB Islam, ...
Computers in Biology and Medicine, 104891, 2021
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