Peter Langfelder
Peter Langfelder
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WGCNA: an R package for weighted correlation network analysis
P Langfelder, S Horvath
BMC bioinformatics 9 (1), 559, 2008
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, 2007
Functional organization of the transcriptome in human brain
MC Oldham, G Konopka, K Iwamoto, P Langfelder, T Kato, S Horvath, ...
Nature neuroscience 11 (11), 1271, 2008
Eigengene networks for studying the relationships between co-expression modules
P Langfelder, S Horvath
BMC systems biology 1 (1), 54, 2007
Is my network module preserved and reproducible?
P Langfelder, R Luo, MC Oldham, S Horvath
PLoS computational biology 7 (1), e1001057, 2011
Fast R functions for robust correlations and hierarchical clustering
P Langfelder, S Horvath
Journal of statistical software 46 (11), 2012
Aging effects on DNA methylation modules in human brain and blood tissue
S Horvath, Y Zhang, P Langfelder, RS Kahn, MPM Boks, K van Eijk, ...
Genome biology 13 (10), R97, 2012
Comparison of co-expression measures: mutual information, correlation, and model based indices
L Song, P Langfelder, S Horvath
BMC bioinformatics 13 (1), 328, 2012
Strategies for aggregating gene expression data: the collapseRows R function
JA Miller, C Cai, P Langfelder, DH Geschwind, SM Kurian, DR Salomon, ...
BMC bioinformatics 12 (1), 322, 2011
Weighted gene coexpression network analysis: state of the art
W Zhao, P Langfelder, T Fuller, J Dong, A Li, S Hovarth
Journal of biopharmaceutical statistics 20 (2), 281-300, 2010
Integrated genomics and proteomics define huntingtin CAG length–dependent networks in mice
P Langfelder, JP Cantle, D Chatzopoulou, N Wang, F Gao, I Al-Ramahi, ...
Nature neuroscience 19 (4), 623, 2016
Genetic analysis of DNA methylation and gene expression levels in whole blood of healthy human subjects
KR van Eijk, S de Jong, MPM Boks, T Langeveld, F Colas, JH Veldink, ...
BMC genomics 13 (1), 636, 2012
When is hub gene selection better than standard meta-analysis?
P Langfelder, PS Mischel, S Horvath
PloS one 8 (4), e61505, 2013
A systems-level analysis of the peripheral nerve intrinsic axonal growth program
V Chandran, G Coppola, H Nawabi, T Omura, R Versano, EA Huebner, ...
Neuron 89 (5), 956-970, 2016
Weighted gene co-expression network analysis of the peripheral blood from Amyotrophic Lateral Sclerosis patients
CGJ Saris, S Horvath, PWJ van Vught, MA van Es, HM Blauw, TF Fuller, ...
BMC genomics 10 (1), 405, 2009
Elevated TREM2 gene dosage reprograms microglia responsivity and ameliorates pathological phenotypes in Alzheimer’s disease models
CYD Lee, A Daggett, X Gu, LL Jiang, P Langfelder, X Li, N Wang, Y Zhao, ...
Neuron 97 (5), 1032-1048. e5, 2018
Huntington's disease accelerates epigenetic aging of human brain and disrupts DNA methylation levels
S Horvath, P Langfelder, S Kwak, J Aaronson, J Rosinski, TF Vogt, ...
Aging (Albany NY) 8 (7), 1485, 2016
Random generalized linear model: a highly accurate and interpretable ensemble predictor
L Song, P Langfelder, S Horvath
BMC bioinformatics 14 (1), 5, 2013
Gene coexpression network topology of cardiac development, hypertrophy, and failure
FE Dewey, MV Perez, MT Wheeler, C Watt, J Spin, P Langfelder, ...
Circulation: cardiovascular genetics 4 (1), 26-35, 2011
Network methods for describing sample relationships in genomic datasets: application to Huntington’s disease
MC Oldham, P Langfelder, S Horvath
BMC systems biology 6 (1), 63, 2012
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