Author

Kazeem A. Dauda

University of BergenORCID 0000-0002-4392-8592Unclaimed 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· 3 Research Focus:differential expression· 2 Research Focus:trajectory inference· 2 Organism:bacteria (other)· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Iain G. JohnstoniD· 2 shared Olav N. L. AgaiD· 2 shared Ebenezer Juwon AdeniyiiD· 1 shared Konstantinos GiannakisiD· 1 shared Morten BruniD· 1 shared Olalekan Taofeek WahabiD· 1 shared Ramón Díaz‐UriarteiD· 1 shared Rasheed Kehinde LamidiiD· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 13 mutual co-author links

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2 shared papersBioinformatics

Iain G. JohnstonORCID

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Author profile →

3 papers

Recent·Most cited

Exploring the Flexible Penalization of Bayesian Survival Analysis Using Beta Process Prior for Baseline Hazard

Kazeem A. Dauda, Ebenezer Juwon Adeniyi, Rasheed Kehinde Lamidi, Olalekan Taofeek Wahab

This paper introduces Bayesian survival analysis methods with beta process priors for variable selection in high-dimensional data, showing improved performance over existing techniques.

Computation · Jan 21, 2025Peer-reviewedBioengineering

Clustering large-scale biomedical data to model dynamic accumulation processes in disease progression and anti-microbial resistance evolution

Kazeem A. Dauda, Olav N. L. Aga, Iain G. Johnston

The paper introduces a clustering-based method to model dynamic accumulation processes in disease progression and antimicrobial resistance evolution using hypercubic hidden Markov models.

IEEE Access · Jan 1, 2025Peer-reviewedBioinformatics

HyperTraPS-CT: Inference and prediction for accumulation pathways with flexible data and model structures

Olav N. L. Aga, Morten Brun, Kazeem A. Dauda, Ramón Díaz‐Uriarte, Konstantinos Giannakis, Iain G. Johnston

HyperTraPS-CT infers and predicts accumulation pathways in complex systems with flexible data and model structures, demonstrating its application to cancer and tuberculosis resistance.

PLoS Computational Biology · Sep 4, 2024Peer-reviewedBioinformatics