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Roby Joehanes et al.
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Elior Rahmani et al.
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Srikant Ambatipudi et al.
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Kevin McGregor et al.
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Genetic ancestry influences asthma susceptibility and lung function among Latinos
Maria Pino-Yanes et al.
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Hypomethylation of smoking-related genes is associated with future lung cancer in four prospective cohorts
Francesca Fasanelli et al.
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Xu Gao et al.
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Off-target Effects in CRISPR/Cas9-mediated Genome Engineering
Xiao-Hui Zhang et al.
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Epigenome-wide association studies without the need for cell-type composition
James Zou et al.
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William P. Accomando et al.
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Andrew E. Jaffe et al.
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Yun Liu et al.
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DNA methylation age of human tissues and cell types
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DNA methylation arrays as surrogate measures of cell mixture distribution
Eugene Andres Houseman et al.
BMC BIOINFORMATICS (2012)
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Mukesh Verma
CURRENT GENOMICS (2012)
Differential DNA Methylation in Purified Human Blood Cells: Implications for Cell Lineage and Studies on Disease Susceptibility
Lovisa E. Reinius et al.
PLOS ONE (2012)
SWAN: Subset-quantile Within Array Normalization for Illumina Infinium HumanMethylation450 BeadChips
Jovana Maksimovic et al.
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Epigenome-wide association studies for common human diseases
Vardhman K. Rakyan et al.
NATURE REVIEWS GENETICS (2011)
Age-dependent DNA methylation of genes that are suppressed in stem cells is a hallmark of cancer
Andrew E. Teschendorff et al.
GENOME RESEARCH (2010)
Capturing heterogeneity in gene expression studies by surrogate variable analysis
Jeffrey T. Leek et al.
PLOS GENETICS (2007)
Adjusting batch effects in microarray expression data using empirical Bayes methods
W. Evan Johnson et al.
BIOSTATISTICS (2007)
Statistical significance for genomewide studies
JD Storey et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2003)
A comparison of normalization methods for high density oligonucleotide array data based on variance and bias
BM Bolstad et al.
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