Addiction science would benefit from the identification of a behavioral marker. A behavioral
marker could reflect the projected clinical course of the disorder, function as a surrogate …

Epigenetics can be defined as all the meiotically and mitotically inherited changes in gene
expression that are not encoded in the DNA sequence itself. Epigenetic modifications of …

Tumor necrosis factor α (TNFα) is a potent immunomodulator and proinflammatory cytokine
that has been implicated in the pathogenesis of autoimmune and infectious diseases. For …

Emerging insights into the importance of B cells in the pathogenesis of rheumatoid arthritis
(RA) as highlighted by the efficacy of B cell depletion is one factor that has contributed to the …

To identify new genetic risk factors for rheumatoid arthritis, we conducted a genome-wide
association study meta-analysis of 5,539 autoantibody-positive individuals with rheumatoid …

Deep neural networks are typically trained by optimizing a loss function with an SGD variant,
in conjunction with a decaying learning rate, until convergence. We show that simple …

Despite advances in scalable models, the inference tools used for Gaussian processes
(GPs) have yet to fully capitalize on developments in computing hardware. We present an …

The tumor necrosis factor (TNF) alpha gene lies within the class III region of the major
histocompatibility complex (MHC), telomeric to the class II and centromeric to the class I …

We introduce scalable deep kernels, which combine the structural properties of deep
learning architectures with the non-parametric flexibility of kernel methods. Specifically, we …

This paper shows that the gravity model is not a single model but that there is a whole family
of spatial interaction models. The properties of this family are outlined in some detail. Basic …