Author

Alex Zhavoronkov

Insilico Medicine (United States)

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

Biology Disciplines

Click to filter author papers

Bioinformatics· 2 Scientific Communication & Education· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Approach:statistical model· 2 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Albina Tskhay· 1 shared Alexander Aliper· 1 shared Alexander TyshkovskiyiD· 1 shared Alexandre TrappiD· 1 shared Alibek MoldakozhayeviD· 1 shared Amanda E. Garza· 1 shared Andrew Garazha· 1 shared Anton Buzdin· 1 shared

Activity by Year

2015-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Albina Tskhay

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Autonomous AI Agents Discover Aging Interventions from Millions of Molecular Profiles

Kejun Ying, Alexander Tyshkovskiy, Alibek Moldakozhayev, Hanchen Wang, Cecília G. De Magalhães, Sharif Iqbal, Amanda E. Garza, Albina Tskhay, Jesse R. Poganik, Kexin Huang, Yuanhao Qu, Dmitrii Glubokov, Cheng Jin, Donghyun Lee, Hanna Liu, , Vadim N. Gladyshev

The paper reanalyzes millions of molecular profiles to identify aging interventions using AI agents, finding over 500 interventions that reduce biological age and revealing patterns in aging modulation.

bioRxiv · Feb 28, 2023 · PreprintBioinformatics

Data aggregation at the level of molecular pathways improves stability of experimental transcriptomic and proteomic data

Nicolas Borisov, Maria Suntsova, Andrew Garazha, Ksenia Lezhnina, Olga Kovalchuk, Alexander Aliper, Elena Ilnitskaya, Maxim Sorokin, Mihkail Korzinkin, Vyacheslav Saenko, Yury Saenko, Dmitry G. Sokov, Nurshat M. Gaifullin, Kirill Kashintsev, Valery Shirokorad, , Anton Buzdin

This study shows that aggregating gene expression data at the molecular pathway level reduces cross- and intra-platform bias, with OncoFinder performing best in tests.

bioRxiv · Sep 21, 2016Bioinformatics

Classifying Aging as a Disease in the context of ICD-11

Alex Zhavoronkov, Bhupinder Bhullar

This paper argues for classifying aging as a disease in ICD-11 to improve resource allocation and healthcare approaches for aging-related conditions.

bioRxiv · Aug 18, 2015Scientific Communication & Education