Horvath, Steve

WGCNA: an R package for weighted correlation network analysis

Langfelder, P., & Horvath, S. (2008) · BMC Bioinformatics

Bioinformatics and Genomic NetworksGene expression and cancer classification

Cited by 27,252

DNA methylation age of human tissues and cell types

Horvath, S. (2013) · Genome Biology

Epigenetics and DNA MethylationGenetics, Aging, and Longevity in Model Organisms

Cited by 7,075

A General Framework for Weighted Gene Co-Expression Network Analysis

Zhang, B., & Horvath, S. (2005) · Statistical Applications in Genetics and Molecular Biology

Bioinformatics and Genomic NetworksGene expression and cancer classification

Cited by 5,684

An epigenetic biomarker of aging for lifespan and healthspan

Levine, M. E., Lu, A. T., Quach, A., Chen, B. H., Assimes, T. L., Bandinelli, S., Hou, L., Baccarelli, A. A., Stewart, J. D., Li, Y., et al. (2018) · Aging

Epigenetics and DNA MethylationGenetics, Aging, and Longevity in Model Organisms

Cited by 3,675

DNA methylation-based biomarkers and the epigenetic clock theory of ageing

Horvath, S., & Raj, K. (2018) · Nature Reviews Genetics

Epigenetics and DNA MethylationGenetics, Aging, and Longevity in Model Organisms

Cited by 3,095

An anatomically comprehensive atlas of the adult human brain transcriptome

Hawrylycz, M. J., Lein, E. S., Guillozet-Bongaarts, A. L., Shen, E. H., Ng, L., Miller, J. A., van de Lagemaat, L. N., Smith, K. A., Ebbert, A., Riley, Z. L., et al. (2012) · Nature

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 3,083

DNA methylation GrimAge strongly predicts lifespan and healthspan

Lu, A. T., Quach, A., Wilson, J. G., Reiner, A. P., Aviv, A., Raj, K., Hou, L., Baccarelli, A. A., Li, Y., Stewart, J. D., et al. (2019) · Aging

Epigenetics and DNA MethylationGenetics, Aging, and Longevity in Model Organisms

Cited by 2,540

Defining clusters from a hierarchical cluster tree: the Dynamic Tree Cut package for R

Langfelder, P., Zhang, B., & Horvath, S. (2008) · Bioinformatics

Advanced Clustering Algorithms ResearchGene expression and cancer classification

Cited by 1,892

Transcriptomic Analysis of Autistic Brain Reveals Convergent Molecular Pathology

Voineagu, I., Wang, X., Johnston, P., Lowe, J. K., Tian, Y., Horvath, S., Mill, J., Cantor, R. M., Blencowe, B. J., & Geschwind, D. H. (2011) · Nature

Autism Spectrum Disorder ResearchGenetics and Neurodevelopmental Disorders

Cited by 1,874

Molecular determinants of the response of glioblastomas to EGFR kinase inhibitors

Mellinghoff, I. K., Wang, M. Y., Vivanco, I., Haas-Kogan, D. A., Zhu, S., Dia, E. Q., Lu, K. V., Yoshimoto, K., Huang, J. H. Y., Chute, D. J., et al. (2005) · New England Journal of Medicine

Glioma Diagnosis and TreatmentHER2/EGFR in Cancer Research

Cited by 1,442

DNA methylation age of blood predicts all-cause mortality in later life

Marioni, R. E., Shah, S., McRae, A. F., Chen, B. H., Colicino, E., Harris, S. E., Gibson, J., Henders, A. K., Redmond, P., Cox, S. R., et al. (2015) · Genome Biology

Epigenetics and DNA MethylationGenetics, Aging, and Longevity in Model Organisms

Cited by 1,261

DNA methylation-based measures of biological age: meta-analysis predicting time to death

Chen, B. H., Marioni, R. E., Colicino, E., Peters, M. J., Ward-Caviness, C. K., Tsai, P.-C., Roetker, N. S., Just, A. C., Demerath, E. W., Guan, W., et al. (2016) · Aging

Epigenetics and DNA MethylationGenetics, Aging, and Longevity in Model Organisms

Cited by 1,126

Shared molecular neuropathology across major psychiatric disorders parallels polygenic overlap

Gandal, M. J., Haney, J. R., Parikshak, N. N., Leppa, V., Ramaswami, G., Hartl, C., Schork, A. J., Appadurai, V., Buil, A., Werge, T. M., et al. (2018) · Science

Genetic Associations and EpidemiologySchizophrenia research and treatment

Cited by 1,095

Integrative functional genomic analyses implicate specific molecular pathways and circuits in autism

Parikshak, N. N., Luo, R., Zhang, A., Won, H., Lowe, J. K., Chandran, V., Horvath, S., & Geschwind, D. H. (2013) · Cell

Autism Spectrum Disorder ResearchGenetics and Neurodevelopmental Disorders

Cited by 1,039

DNA methylation aging clocks: challenges and recommendations

Bell, C. G., Lowe, R., Adams, P. D., Baccarelli, A. A., Beck, S., Bell, J. T., Christensen, B. C., Gladyshev, V. N., Heijmans, B. T., Horvath, S., et al. (2019) · Genome Biology

Epigenetics and DNA MethylationGenetics, Aging, and Longevity in Model Organisms

Cited by 1,025

Epigenetic Predictor of Age

Bocklandt, S., Lin, W., Sehl, M. E., Sánchez, F. J., Sinsheimer, J. S., Horvath, S., & Vilain, E. (2011) · PLoS ONE

Epigenetics and DNA MethylationTelomeres, Telomerase, and Senescence

Cited by 1,012

Is My Network Module Preserved and Reproducible?

Langfelder, P., Luo, R., Oldham, M. C., & Horvath, S. (2011) · PLoS Computational Biology

Bioinformatics and Genomic NetworksGene Regulatory Network Analysis

Cited by 1,012

Genetic programs in human and mouse early embryos revealed by single-cell RNA sequencing

Xue, Z., Huang, K., Cai, C., Cai, L., Jiang, C.-Y., Feng, Y., Liu, Z., Zeng, Q., Cheng, L., Sun, Y. E., et al. (2013) · Nature

Reproductive Biology and FertilityDevelopmental Biology and Gene Regulation

Cited by 963

Variations in DNA elucidate molecular networks that cause disease

Chen, Y., Zhu, J., Lum, P. Y., Yang, X., Pinto, S., MacNeil, D. J., Zhang, C., Lamb, J., Edwards, S., Sieberts, S. K., et al. (2008) · Nature

Bioinformatics and Genomic NetworksNutrition, Genetics, and Disease

Cited by 887

Eigengene networks for studying the relationships between co-expression modules

Langfelder, P., & Horvath, S. (2007) · BMC Systems Biology

Bioinformatics and Genomic NetworksGene expression and cancer classification

Cited by 867

Reprogramming to recover youthful epigenetic information and restore vision

Lu, Y., Brommer, B., Tian, X., Krishnan, A., Meer, M., Wang, C., Vera, D. L., Zeng, Q., Yu, D., Bonkowski, M. S., et al. (2020) · Nature

Epigenetics and DNA MethylationPluripotent Stem Cells Research

Cited by 820

Epigenetic clock for skin and blood cells applied to Hutchinson Gilford Progeria Syndrome and ex vivo studies

Horvath, S., Oshima, J., Martin, G. M., Lu, A. T., Quach, A., Cohen, H., Felton, S., Matsuyama, M., Lowe, D., Kabacik, S., et al. (2018) · Aging

Telomeres, Telomerase, and SenescenceEpigenetics and DNA Methylation

Cited by 815

Epigenetic clock analysis of diet, exercise, education, and lifestyle factors

Quach, A., Levine, M. E., Tanaka, T., Lu, A. T., Chen, B. H., Ferrucci, L., Ritz, B., Bandinelli, S., Neuhouser, M. L., Beasley, J. M., et al. (2017) · Aging

Epigenetics and DNA MethylationGenetics, Aging, and Longevity in Model Organisms

Cited by 801

A new aging measure captures morbidity and mortality risk across diverse subpopulations from NHANES IV: A cohort study

Liu, Z., Kuo, P.-L., Horvath, S., Crimmins, E., Ferrucci, L., & Levine, M. (2018) · PLOS Medicine

Frailty in Older AdultsGenetics, Aging, and Longevity in Model Organisms

Cited by 754