Author

Roni Khardon

Indiana University Bloomington

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· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:phylogenetics / evolution· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Erfan Sadeqi AzeriD· 1 shared Mohammad Haghir EbrahimabadiiD· 1 shared S. Cenk ŞahinalpiD· 1 shared Salem MalikićiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Erfan Sadeqi AzerORCID

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1 paper

Recent·Most cited

Tumor Phylogeny Topology Inference via Deep Learning

Erfan Sadeqi Azer, Mohammad Haghir Ebrahimabadi, Salem Malikić, Roni Khardon, S. Cenk Şahinalp

This paper introduces deep learning methods to infer tumor phylogeny topology and feasibility from single-cell genotype data, demonstrating the potential of data-driven approaches in cancer evolution analysis.

iScience · Oct 7, 2020Peer-reviewedBioinformatics