Author

Olga Vishnyakova

BC Cancer AgencyORCID 0000-0002-7707-4740Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Olga Vishnyakova1 paper · Canada's Michael Smith Genome Sciences Centre

Biology Disciplines

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Genomics· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Assay:DNA methylation· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Angela Brooks-WilsoniD· 2 shared Joosung MiniD· 2 shared Lloyd T. ElliottiD· 2 shared Almira Amirgalyeva· 1 shared Anastassiya V. PerfilyevaiD· 1 shared Ann Zenobia MooreiD· 1 shared Inna Nazarenko· 1 shared Kenneth J. RockwoodiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersGenomics

Angela Brooks-WilsonORCID

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3 papers

Recent·Most cited

DNA methylation variability provides a complementary epigenetic signature of aging heterogeneity: Findings from the Canadian Longitudinal Study on Aging and the Baltimore Longitudinal Study of Aging

Olga Vishnyakova, Joosung Min, Ann Zenobia Moore, T Toshiko, Luigi Ferrucci, Xiaowei Song, Kenneth J. Rockwood, Angela Brooks-Wilson, Lloyd T. Elliott

The paper identifies DNA methylation variability and differential methylation regions associated with aging-related health decline and constructs an epigenetic biomarker that outperforms methylation-only biomarkers in predicting mortality.

The Journals of Gerontology Series A · Sep 17, 2026Peer-reviewedGenomics

A New Sparse Bayesian Quantile Neural Network-based Approach and Its Application to Discover Physiological Sweet Spots in the Canadian Longitudinal Study on Aging

Joosung Min, Olga Vishnyakova, Angela Brooks-Wilson, Lloyd T. Elliott

The paper introduces Q-FSNet and Q-DirichNet, sparse Bayesian neural networks for identifying physiological sweet spots in metabolomic data from the Canadian Longitudinal Study on Aging.

GeroScience · May 21, 2026Peer-reviewedBioinformatics

Advanced median-based genetic similarity analysis in Kazakh Tazy dogs: A novel approach for breed conformity assessment

Anastassiya V. Perfilyeva, Rustam Mussabayev, Кира Беспалова, Yelena Kuzovleva, Sergey Bespalov, Мамура Бегманова, Almira Amirgalyeva, Olga Vishnyakova, Inna Nazarenko, Yuliya V. Perfilyeva, Konstantin Plakhov, Leyla Djansugurova

This paper introduces a median-based algorithm to assess breed conformity using genetic markers, showing moderate correlation with SNP-based evaluations and potential for use without reference populations.

bioRxiv · Mar 19, 2024 · PreprintGenomics