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DNA methylation age of human tissues and cell types S Horvath Genome biology 14, 1-20, 2013 | 5733 | 2013 |
A general framework for weighted gene co-expression network analysis B Zhang, S Horvath Statistical applications in genetics and molecular biology 4 (1), 2005 | 5483 | 2005 |
An anatomically comprehensive atlas of the adult human brain transcriptome MJ Hawrylycz, ES Lein, AL Guillozet-Bongaarts, EH Shen, L Ng, JA Miller, ... Nature 489 (7416), 391-399, 2012 | 2731 | 2012 |
DNA methylation-based biomarkers and the epigenetic clock theory of ageing S Horvath, K Raj Nature reviews genetics 19 (6), 371-384, 2018 | 2112 | 2018 |
Transcriptomic analysis of autistic brain reveals convergent molecular pathology I Voineagu, X Wang, P Johnston, JK Lowe, Y Tian, S Horvath, J Mill, ... Nature 474 (7351), 380-384, 2011 | 2006 | 2011 |
Defining clusters from a hierarchical cluster tree: the Dynamic Tree Cut package for R P Langfelder, B Zhang, S Horvath Bioinformatics 24 (5), 719-720, 2008 | 1999 | 2008 |
An epigenetic biomarker of aging for lifespan and healthspan ME Levine, AT Lu, A Quach, BH Chen, TL Assimes, S Bandinelli, L Hou, ... Aging (albany NY) 10 (4), 573, 2018 | 1919 | 2018 |
Molecular determinants of the response of glioblastomas to EGFR kinase inhibitors IK Mellinghoff, MY Wang, I Vivanco, DA Haas-Kogan, S Zhu, EQ Dia, ... New England Journal of Medicine 353 (19), 2012-2024, 2005 | 1720 | 2005 |
DNA methylation GrimAge strongly predicts lifespan and healthspan AT Lu, A Quach, JG Wilson, AP Reiner, A Aviv, K Raj, L Hou, ... Aging (albany NY) 11 (2), 303, 2019 | 1357 | 2019 |
Global histone modification patterns predict risk of prostate cancer recurrence DB Seligson, S Horvath, T Shi, H Yu, S Tze, M Grunstein, SK Kurdistani Nature 435 (7046), 1262-1266, 2005 | 1314 | 2005 |
DNA methylation age of blood predicts all-cause mortality in later life RE Marioni, S Shah, AF McRae, BH Chen, E Colicino, SE Harris, J Gibson, ... Genome biology 16, 1-12, 2015 | 1113 | 2015 |
Fast R functions for robust correlations and hierarchical clustering P Langfelder, S Horvath Journal of statistical software 46 (11), 2012 | 1085 | 2012 |
Variations in DNA elucidate molecular networks that cause disease Y Chen, J Zhu, PY Lum, X Yang, S Pinto, DJ MacNeil, C Zhang, J Lamb, ... Nature 452 (7186), 429-435, 2008 | 1068 | 2008 |
Integrative functional genomic analyses implicate specific molecular pathways and circuits in autism NN Parikshak, R Luo, A Zhang, H Won, JK Lowe, V Chandran, S Horvath, ... Cell 155 (5), 1008-1021, 2013 | 1066 | 2013 |
Implementing a unified approach to family‐based tests of association NM Laird, S Horvath, X Xu Genetic Epidemiology: The Official Publication of the International Genetic …, 2000 | 1027 | 2000 |
Epigenetic predictor of age S Bocklandt, W Lin, ME Sehl, FJ Sánchez, JS Sinsheimer, S Horvath, ... PloS one 6 (6), e14821, 2011 | 1012 | 2011 |
Genetic programs in human and mouse early embryos revealed by single-cell RNA sequencing Z Xue, K Huang, C Cai, L Cai, C Jiang, Y Feng, Z Liu, Q Zeng, L Cheng, ... Nature 500 (7464), 593-597, 2013 | 997 | 2013 |
Shared molecular neuropathology across major psychiatric disorders parallels polygenic overlap MJ Gandal, JR Haney, NN Parikshak, V Leppa, G Ramaswami, C Hartl, ... Science 359 (6376), 693-697, 2018 | 983 | 2018 |
DNA methylation-based measures of biological age: meta-analysis predicting time to death BH Chen, RE Marioni, E Colicino, MJ Peters, CK Ward-Caviness, PC Tsai, ... Aging (Albany NY) 8 (9), 1844, 2016 | 960 | 2016 |