Author

Peter Niimi

Yale 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 Cell Biology· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Assay:DNA methylation· 3 Approach:statistical model· 3 Organism:human· 2 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:gene regulatory network inference· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Kyra ThrushiD· 3 shared Morgan E. LevineiD· 3 shared Albert Higgins‐CheniD· 2 shared Christopher J. MinteeriD· 2 shared Ann Zenobia MooreiD· 1 shared Bart P. F. RutteniD· 1 shared Christiaan H. VinkersiD· 1 shared Cynthia Okhuijsen‐PfeiferiD· 1 shared

Activity by Year

2022-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersCell Biology

Kyra ThrushORCID

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Author profile →

3 papers

Recent·Most cited

The Latent Aging of Cells

Peter Niimi, Victoria Gould, Kyra Thrush, Morgan E. Levine

The paper analyzes DNA methylation patterns across aging, (de)differentiation, and reprogramming to identify shared and distinct signals.

bioRxiv · May 28, 2024 · PreprintCell Biology

A computational solution for bolstering reliability of epigenetic clocks: Implications for clinical trials and longitudinal tracking

Albert Higgins‐Chen, Kyra Thrush, Yunzhang Wang, Christopher J. Minteer, Pei‐Lun Kuo, Meng Wang, Peter Niimi, Gabriel Sturm, Jue Lin, Ann Zenobia Moore, Stefania Bandinelli, Christiaan H. Vinkers, Eric H. G. J. M. Vermetten, Bart P. F. Rutten, Elbert Geuze, , Morgan E. Levine

This paper introduces a computational method to improve the reliability of epigenetic clocks by using principal component analysis, showing reduced technical noise and better performance in longitudinal studies.

Nature Aging · Jul 15, 2022Peer-reviewedBioinformatics

Clock Work: Deconstructing the Epigenetic Clock Signals in Aging, Disease, and Reprogramming

Morgan E. Levine, Albert Higgins‐Chen, Kyra Thrush, Christopher J. Minteer, Peter Niimi

Clustering 5,717 clock CpGs into twelve modules shows that different epigenetic clocks mix those modules in different proportions, and that reprogramming rejuvenates only some of them.

bioRxiv · Feb 13, 2022 · PreprintGenetics