Steve Horvath
Steve Horvath
Professor of Human Genetics and Biostatistics, University of California, Los Angeles
Verified email at
Cited by
Cited by
WGCNA: an R package for weighted correlation network analysis
P Langfelder, S Horvath
BMC bioinformatics 9, 1-13, 2008
DNA methylation age of human tissues and cell types
S Horvath
Genome biology 14, 1-20, 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
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
DNA methylation-based biomarkers and the epigenetic clock theory of ageing
S Horvath, K Raj
Nature reviews genetics 19 (6), 371-384, 2018
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
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
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
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
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
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
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
Fast R functions for robust correlations and hierarchical clustering
P Langfelder, S Horvath
Journal of statistical software 46 (11), 2012
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
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
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
Epigenetic predictor of age
S Bocklandt, W Lin, ME Sehl, FJ Sánchez, JS Sinsheimer, S Horvath, ...
PloS one 6 (6), e14821, 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
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
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
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