Author

F. A. Kondrashov

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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Evolutionary Biology· 2 Plant Biology· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:plant (other)· 1

Frequent Co-Authors

A. I. Bubyrev· 1 shared A. S. Mishin· 1 shared A. S. Pushin· 1 shared A. S. Tsarkova· 1 shared D. Bobrovskiy· 1 shared D. N. Ivankov· 1 shared E. B. Guglya· 1 shared E. S. Shakhova· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperPlant Biology

A. I. Bubyrev

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3 papers

Recent·Most cited

Evolutionary BiologybioRxivJan 23, 2022

Relation between the number of peaks and the number of reciprocal sign epistatic interactions

R. Saona, F. A. Kondrashov, K. A. Khudiakova

The paper quantifies the relationship between fitness peaks and reciprocal sign epistatic interactions using discrete Morse theory.

DOI 10.1007/s11538-022-01029-z

statistical model

𝕏 PostBluesky

Plant BiologybioRxivPreprintOct 18, 2019

Plants with self-sustained luminescence

T. Mitiouchkina, A. S. Mishin, L. Gonzalez Somermeyer…·K. S. Sarkisyan

This paper demonstrates autonomous luminescence in tobacco plants using a fungal bioluminescent system, observing dynamic light patterns across developmental stages and circadian rhythms.

DOI 10.1101/809376

plant (other)proteomics

𝕏 PostBluesky

Evolutionary BiologybioRxivAug 21, 2019

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

L. Avino Esteban, L. R. Lonishin, D. Bobrovskiy…·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.

DOI 10.1093/bioinformatics/btz841

proteomicsdeep learning

𝕏 PostBluesky