Author

AKM Azad

UNSW SydneyORCID 0000-0002-5251-2214Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Organism:multiple species· 2 Research Focus:software / tool· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Jonathan Macgregor KeithiD· 1 shared Mohammad Ali MoniiD· 1 shared Muhammad J. A. ShiddikyiD· 1 shared Salem A. AlyamiiD· 1 shared

Activity by Year

2018-2026 · peak 3/yr

Co-Author Collaboration Network

4 top collaborators · 2 mutual co-author links

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1 shared paperSystems Biology

Jonathan Macgregor KeithORCID

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4 papers

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 23, 2026

Global dissemination of FC-ϵ RI and p53 signalling perturbation contribute to Dasatinib resistance in Pancreatic Cancer Cell-lines

A K M Azad, Muhammad J. A. Shiddiky, Mohammad Ali Moni

This study identifies key signalling pathways and biomarkers associated with dasatinib resistance in pancreatic cancer using transcriptomics and network analysis.

DOI 10.64898/2026.02.22.707324

humanbulk RNA-seq

BioinformaticsbioRxivPreprintOct 13, 2018

XTalkiiS: a tool for finding data-driven cross-talks between intra-/inter-species pathways

AKM Azad

XTalkiiS predicts cross-talks between intra- and inter-species pathways using data-driven models of pathway networks.

DOI 10.1101/437541

multiple speciesstatistical model

BioinformaticsbioRxivPreprintSep 13, 2018

KPGminer: A tool for retrieving pathway genes from KEGG pathway database

AKM Azad

KPGminer retrieves and organizes pathway genes from KEGG for various organisms, supporting single and batch modes, and is freely available online.

4 citations

multiple speciesstatistical model

Systems BiologybioRxivPreprintSep 12, 2018

BNMCMC: a software for learning and visualizing Bayesian networks using MCMC methods

AKM Azad, Salem A. Alyami, Jonathan Macgregor Keith

BNMCMC is a software tool for inferring and visualizing Bayesian networks using MCMC methods, improving upon standard samplers by avoiding local optima.

DOI 10.1101/414953

statistical modelBayesian inference