Author

Ivan Croydon Veleslavov

Imperial College London

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Approach:machine learning (classical)· 2 Assay:scRNA-seq· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Michael P.H. StumpfiD· 2 shared

Activity by Year

2020-2024 · peak 1/yr

2 papers

Recent·Most cited

BioinformaticsJournal of Computational BiologyPeer-reviewedJan 1, 2024

Repeated Decision Stumping Distils Simple Rules from Single Cell Data

Ivan Croydon Veleslavov, Michael P.H. Stumpf

This paper introduces repeated decision stumping to identify key gene products driving cell fate transitions from single-cell data, finding robust and predictive models without prior knowledge.

DOI 10.1089/cmb.2021.0613

scRNA-seqmachine learning (classical)

𝕏 PostBluesky

BioinformaticsbioRxivPreprintDec 19, 2020

Decision tree models and cell fate choice

Ivan Croydon Veleslavov, Michael P.H. Stumpf

The paper develops decision tree models to interpret gene regulatory programs in cell fate decisions using single-cell transcriptomic data.

2 citations

scRNA-seqmachine learning (classical)

𝕏 PostBluesky