| 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 | 20 | 2015 |
| 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 | 19 | 2011 |
| 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 | 11 | 2017 |
| Voting-based cancer module identification by combining topological and data-driven properties AKM Azad, H Lee PLoS One 8 (8), e70498, 2013 | 8 | 2013 |
| The neighborhood MCMC sampler for learning bayesian networks SA Alyami, AKM Azad, JM Keith First International Workshop on Pattern Recognition 10011, 100111K, 2016 | 2 | 2016 |
| 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 | 1 | 2020 |
| Real-time time-series modelling for prediction of COVID-19 spread and intervention assessment TH Rashidi, S Shahriari, AKM Azad, F Vafaee medRxiv, 2020 | 1 | 2020 |
| 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 | 1 | 2018 |
| KPGminer: A tool for retrieving pathway genes from KEGG pathway database AKM Azad bioRxiv, 416131, 2018 | 1 | 2018 |
| COVID-CDR: An integrative resource for network-based investigation of COVID-19 combinatorial drug repositioning and mechanism of action AKM Azad, S Fatima, F Vafaee Dryad, https://doi.org/10.5061/dryad.905qfttjm, 2020 | | 2020 |
| Discovering novel cancer bio-markers in acquired lapatinib resistance using Bayesian methods AKM Azad, SA Alyami arXiv, https://arxiv.org/pdf/2012.00566.pdf, 2020 | | 2020 |
| An Integrative Resource for Network-Based Investigation of COVID-19 Combinatorial Drug Repositioning and Mechanism of Action AKM AZAD, S Fatima, F Vafaee Chemrxiv (https://doi.org/10.26434/chemrxiv.13271096.v1), 2020 | | 2020 |
| Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data S Aktar, M Ahamad, M Rashed-Al-Mahfuz, AKM Azad, S Uddin, ... arXiv preprint arXiv:2011.10657, 2020 | | 2020 |
| Single cell data explosion: Deep learning to the rescue AKM Azad, F Vafaee arXiv preprint arXiv:1901.06105, 2019 | | 2019 |
| XTalkiiS: a tool for finding data-driven cross-talks between intra-/inter-species pathways AKM Azad BioRxiv, 437541, 2018 | | 2018 |
| BNMCMC: a software for inferring and visualizing Bayesian networks using MCMC methods AKM Azad, SA Alyami, JM Keith bioRxiv, 414953, 2018 | | 2018 |
| Computational modelling and characterisation of cell signalling cross-talks in acquired drug resistance AKM Azad Monash University, 2017 | | 2017 |
| Integrating heterogeneous datasets for cancer module identification AKM Azad Bioinformatics, 119-137, 2017 | | 2017 |
| Uniform Sampling of Directed and Undirected Graphs Conditional on Vertex Connectivity SA Alyami, AKM Azad, JM Keith Electronic Notes in Discrete Mathematics 53, 43-55, 2016 | | 2016 |
| Network Reconstruction Approach for Integrating Gene Expression & Copy Number Aberration Reveals Cancer Related Pathways AKM Azad | | 2011 |
