| A computational solution for bolstering reliability of epigenetic clocks: Implications for clinical trials and longitudinal tracking AT Higgins-Chen, KL Thrush, Y Wang, CJ Minteer, PL Kuo, M Wang, ... Nature aging 2 (7), 644-661, 2022 | 169 | 2022 |
| Underlying features of epigenetic aging clocks in vivo and in vitro Z Liu, D Leung, K Thrush, W Zhao, S Ratliff, T Tanaka, LL Schmitz, ... Aging cell 19 (10), e13229, 2020 | 151 | 2020 |
| Aging biomarkers and the brain AT Higgins-Chen, KL Thrush, ME Levine Seminars in cell & developmental biology 116, 180-193, 2021 | 48 | 2021 |
| A rat epigenetic clock recapitulates phenotypic aging and co-localizes with heterochromatin M Levine, RA McDevitt, M Meer, K Perdue, A Di Francesco, T Meade, ... Elife 9, e59201, 2020 | 44 | 2020 |
| HCN, formamidic acid, and formamide in aqueous solution: a free-energy map J Kua, KL Thrush The Journal of Physical Chemistry B 120 (33), 8175-8185, 2016 | 36 | 2016 |
| Clock work: Deconstructing the epigenetic clock signals in aging, disease, and reprogramming ME Levine, A Higgins-Chen, K Thrush, C Minteer, P Niimi BioRxiv, 2022.02. 13.480245, 2022 | 32 | 2022 |
| Aging the brain: multi-region methylation principal component based clock in the context of Alzheimer’s disease KL Thrush, DA Bennett, C Gaiteri, S Horvath, CH van Dyck, ... Aging 14 (14), 5641-5668, 2022 | 15 | 2022 |
| R methylCIPHER: a methylation clock investigational package for hypothesis-driven evaluation & research KL Thrush, AT Higgins-Chen, Z Liu, ME Levine biorxiv, 2022.07. 13.499978, 2022 | 15 | 2022 |
| More than bad luck: cancer and aging are linked to replication-driven changes to the epigenome CJ Minteer, K Thrush, J Gonzalez, P Niimi, M Rozenblit, J Rozowsky, J Liu, ... Science Advances 9 (29), eadf4163, 2023 | 8 | 2023 |
| A computational solution for bolstering reliability of epigenetic clocks: Implications for clinical trials and longitudinal tracking. Nature Aging, 2 (7), 644–661 AT Higgins‑Chen, KL Thrush, Y Wang, CJ Minteer, P Kuo, M Wang, ... | 5 | 2022 |
| A computational solution for bolstering reliability of epigenetic clocks: implications for clinical trials and longitudinal tracking. bioRxiv. 2021: 2021.04. 16.440205 AT Higgins-Chen, KL Thrush, Y Wang, PL Kuo, M Wang, CJ Minteer, ... | 5 | 2021 |
| A Computational solution to bolster epigenetic clock reliability for clinical trials and longitudinal tracking A Higgins-Chen, K Thrush, T Hu-Seliger, Y Wang, S Hagg, M Levine Innovation in Aging 5 (Suppl 1), 5, 2021 | 5 | 2021 |
| Reactions of Glycolonitrile with Ammonia and Water: A Free Energy Map KL Thrush, J Kua The Journal of Physical Chemistry A 122 (33), 6769-6779, 2018 | 5 | 2018 |
| Revisiting the bad luck hypothesis: Cancer risk and aging are linked to replication-driven changes to the epigenome CJ Minteer, K Thrush, P Niimi, J Rozowsky, J Liu, M Frank, T McCabe, ... bioRxiv, 2022.09. 14.507975, 2022 | 2 | 2022 |
| Epigenetic Age Acceleration as a Risk Predictor of Hepatocellular Carcinoma A Luna, K Thrush The FASEB Journal 36, 2022 | 1 | 2022 |
| Age-Invariant Genes: Multi-Tissue Identification and Characterization of Murine Reference Genes JT González, K Thrush, M Meer, ME Levine, AT Higgins-Chen bioRxiv, 2024 | | 2024 |
| Capturing DNA methylation heterogeneity and examining its relationship to somatic mutations in Alzheimer’s disease Y Markov, K Thrush, A Higgins‐Chen, L Morgan Alzheimer's & Dementia 18, e069183, 2022 | | 2022 |
| PCBrainAge: A Brain‐Specific AD‐Associated DNA Methylation Clock K Thrush, Y Markov, A Higgins‐Chen, L Morgan Alzheimer's & Dementia 18, e069230, 2022 | | 2022 |
| A Peak Through the Noise: Capturing Biological Heterogeneity in Aging with Our Machine Learning Toolkit K Thrush Yale University, 2022 | | 2022 |
| Deep Learning Methods Capture Non-Linear Brain Aging Patterns Underlying Alzheimer’s Disease and Resilience K Thrush, A Higgins-Chen, Y Markov, R Sehgal, M Levine Innovation in Aging 5 (Suppl 1), 370, 2021 | | 2021 |
