Author

Albina Tskhay

Boston University

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 Scientific Communication & Education· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Organism:human· 2 Organism:mouse· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1

Frequent Co-Authors

Alibek MoldakozhayeviD· 3 shared Alexander TyshkovskiyiD· 2 shared Jeremy M. Van RaamsdonkiD· 2 shared Jesse R. PoganikiD· 2 shared Kejun YingiD· 2 shared Sharif IqbaliD· 2 shared Vadim N. GladysheviD· 2 shared Alec EamesiD· 1 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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3 shared papersSystems Biology

Alibek MoldakozhayevORCID

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3 papers

Recent·Most cited

Aged white adipose tissue is rejuvenated in a young host through thermogenic remodeling of mature adipocytes

Alibek Moldakozhayev, Alexander Tyshkovskiy, Pasquale Nigro, Zehao Zhang, Albina Tskhay, Cecília Gallottini de Magalhães, Shweta Yadav, Kejun Ying, Alec Eames, Jesse R. Poganik, Shakchhi Joshi, Ji Seul Han, Daria Kholdina, Wayne Mitchell, João A. Paulo, , Vadim N. Gladyshev

This study shows that old white adipose tissue can rejuvenate in young hosts through thermogenic remodeling and pathway activation, reversing biological age markers.

bioRxiv · Sep 30, 2026 · PreprintSystems Biology

Causal Language Detection using Text-Document Features: Methodology and Insights from 10 Years of Gut Microbiome Research

Albina Tskhay, Cristina Longo, Alibek Moldakozhayev, Nia Kang, Celia M.T. Greenwood, Roxana Behruzi, Stan J. Kubow, Tibor Schuster

This paper evaluates classifiers for detecting causal language in scientific abstracts and applies the best model to analyze trends in microbiome research from 2015 to 2025.

bioRxiv · Mar 4, 2026 · PreprintScientific Communication & Education

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