Dr A. K. M. Azad
Cited by
Cited by
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
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
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
Voting-based cancer module identification by combining topological and data-driven properties
AKM Azad, H Lee
PLoS One 8 (8), e70498, 2013
The neighborhood MCMC sampler for learning bayesian networks
SA Alyami, AKM Azad, JM Keith
First International Workshop on Pattern Recognition 10011, 100111K, 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
Real-time time-series modelling for prediction of COVID-19 spread and intervention assessment
TH Rashidi, S Shahriari, AKM Azad, F Vafaee
medRxiv, 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
KPGminer: A tool for retrieving pathway genes from KEGG pathway database
AKM Azad
bioRxiv, 416131, 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
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
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
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
Single cell data explosion: Deep learning to the rescue
AKM Azad, F Vafaee
arXiv preprint arXiv:1901.06105, 2019
XTalkiiS: a tool for finding data-driven cross-talks between intra-/inter-species pathways
AKM Azad
BioRxiv, 437541, 2018
BNMCMC: a software for inferring and visualizing Bayesian networks using MCMC methods
AKM Azad, SA Alyami, JM Keith
bioRxiv, 414953, 2018
Computational modelling and characterisation of cell signalling cross-talks in acquired drug resistance
AKM Azad
Monash University, 2017
Integrating heterogeneous datasets for cancer module identification
AKM Azad
Bioinformatics, 119-137, 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
Network Reconstruction Approach for Integrating Gene Expression & Copy Number Aberration Reveals Cancer Related Pathways
AKM Azad
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Articles 1–20