Author

B. Zagidullin

University of HelsinkiORCID 0000-0002-8386-110XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:bulk RNA-seq· 2 Research Focus:drug response / drug discovery· 2 Approach:machine learning (classical)· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Jing Ping TangiD· 3 shared A. Malyutina· 1 shared A. Pessia· 1 shared Annukka M. PasaneniD· 1 shared E. PitkäneniD· 1 shared J. Aldahdooh· 1 shared J. Saad· 1 shared Mikko J. LoukovaaraiD· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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3 shared papersBioinformatics

Jing Ping TangORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Interpretable prognostic modeling of endometrial cancer

Bulat Zagidullin, Annukka M. Pasanen, Mikko J. Loukovaara, Ralf C. Bützow, Jing Ping Tang

This study compares Cox proportional hazards and optimal survival tree models for prognostic modeling of endometrial cancer using clinical and molecular data, finding linear models better for clinical features alone and tree models better with molecular data.

Scientific Reports · Dec 13, 2022Peer-reviewedBioinformatics

Comparative analysis of molecular representations in prediction of drug combination effects

B. Zagidullin, Z. Wang, Y. Guan, E. Pitkänen, J. Tang

The paper compares rule-based and data-driven molecular representations for predicting drug combination effects using standardized screening data from 112 cancer cell lines.

bioRxiv · Apr 16, 2021 · PreprintBioinformatics

DrugComb - an integrative cancer drug combination data portal

B. Zagidullin, J. Aldahdooh, S. Zheng, W. Wang, Y. Wang, J. Saad, A. Malyutina, A. Pessia, J. Tang

DrugComb provides an open-access portal for drug combination screening data, enabling analysis and prediction of drug synergy using linear regression and chemical fingerprints.

bioRxiv · Feb 25, 2019Pharmacology & Toxicology