Author

D. N. Ivankov

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

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Evolutionary Biology· 2

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Approach:deep learning· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:gene regulatory network inference· 1 Assay:proteomics· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

C. M. Erazo· 1 shared D. Bobrovskiy· 1 shared E. M. Zorin· 1 shared F. A. Kondrashov· 1 shared G. Leleytner· 1 shared L. Avino Esteban· 1 shared L. R. Lonishin· 1 shared N. S. Bogatyreva· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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1 shared paperEvolutionary Biology

C. M. Erazo

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2 papers

Recent·Most cited

Composite mutations give an extra insight into epistasis

E. M. Zorin, C. M. Erazo, D. N. Ivankov

This paper introduces hyperrectangles to study epistasis in genetic datasets, finding that they reveal more epistatic interactions than hypercubes.

bioRxiv · Jun 16, 2022 · PreprintEvolutionary Biology

HypercubeME: two hundred million combinatorially complete datasets from a single experiment

L. Avino Esteban, L. R. Lonishin, D. Bobrovskiy, G. Leleytner, N. S. Bogatyreva, F. A. Kondrashov, D. N. Ivankov

The paper introduces an algorithm to identify combinatorially complete datasets in high-throughput mutagenesis experiments and applies it to find over 199 million such datasets in a HIS3 protein experiment.

bioRxiv · Aug 21, 2019Evolutionary Biology