Correlation networks are increasingly being used in bioinformatics applications. For
example, weighted gene co-expression network analysis is a systems biology method for
describing the correlation patterns among genes across microarray samples. Weighted …

Gene co-expression networks are increasingly used to explore the system-level functionality
of genes. The network construction is conceptually straightforward: nodes represent genes
and nodes are connected if the corresponding genes are significantly co-expressed across …

Background The epidermal growth factor receptor (EGFR) is frequently amplified,
overexpressed, or mutated in glioblastomas, but only 10 to 20 percent of patients have a
response to EGFR kinase inhibitors. The mechanism of responsiveness of glioblastomas to …

It is not yet known whether DNA methylation levels can be used to accurately predict age
across a broad spectrum of human tissues and cell types, nor whether the resulting age
prediction is a biologically meaningful measure. I developed a multi-tissue predictor of age …

Autism spectrum disorder (ASD) is a common, highly heritable neurodevelopmental
condition characterized by marked genetic heterogeneity 1, 2, 3. Thus, a fundamental
question is whether autism represents an aetiologically heterogeneous disorder in which the …

Aberrations in post-translational modifications of histones have been shown to occur in
cancer cells but only at individual promoters 1; they have not been related to clinical
outcome. Other than being targeted to promoters, modifications of histones, such as …

We describe a broad class of family‐based association tests that are adjusted for admixture;
use either dichotomous or measured phenotypes; accommodate phenotype‐unknown
subjects; use nuclear families, sibships or a combination of the two, permit multiple nuclear …

Neuroanatomically precise, genome-wide maps of transcript distributions are critical
resources to complement genomic sequence data and to correlate functional and genetic
brain architecture. Here we describe the generation and analysis of a transcriptional atlas of …

Hierarchical clustering is a widely used method for detecting clusters in genomic data.
Clusters are defined by cutting branches off the dendrogram. A common but inflexible
method uses a constant height cutoff value; this method exhibits suboptimal performance on …

Identifying variations in DNA that increase susceptibility to disease is one of the primary
aims of genetic studies using a forward genetics approach. However, identification of
disease-susceptibility genes by means of such studies provides limited functional …