Most disease-associated variants, although located in putatively regulatory regions, do not
have detectable effects on gene expression. One explanation could be that we have not …

Understanding the functional consequences of genetic variation, and how it affects complex
human disease and quantitative traits, remains a critical challenge for biomedicine. We …

Genome-wide association studies have identified thousands of loci for common diseases,
but, for the majority of these, the mechanisms underlying disease susceptibility remain …

Context is an ever-present combination of discrete environmental elements capable of
influencing many psychological processes. When context is associated with an aversive stimulus, …

Sparse coding provides a class of algorithms for finding succinct representations of stimuli;
given only unlabeled input data, it discovers basis functions that capture higher-level features …

Trait-associated genetic variants affect complex phenotypes primarily via regulatory mechanisms
on the transcriptome. To investigate the genetics of gene expression, we performed cis…

Understanding functional effects of genetic variants is one of the key challenges in human
genetics, as much of disease-associated variation is located in non-coding regions with …

We present a new machine learning framework called "self-taught learning" for using
unlabeled data in supervised classification tasks. We do not assume that the unlabeled data …

Young adolescents’ perceptions of teachers’ and peers’ multiple classroom supports were
examined in relation to motivational outcomes (interest and social goal pursuit). Responses …

Understanding the consequences of regulatory variation in the human genome remains a
major challenge, with important implications for understanding gene regulation and …