Bioconductor is an open-source, open-development software project for the analysis and
comprehension of high-throughput data in genomics and molecular biology. The project …

The term machine learning refers to a set of topics dealing with the creation and evaluation
of algorithms that facilitate pattern recognition, classification, and prediction, based on …

This chapter describes the Bioconductor project and details of its open source facilities for
analysis of microarray and other high‐throughput biological experiments. Particular attention …

The Bioconductor project is an initiative for the collaborative creation of extensible software
for computational biology and bioinformatics. The goals of the project include: fostering …

Background The possible advantage for weight loss of a diet that emphasizes protein, fat, or
carbohydrates has not been established, and there are few studies that extend beyond 1 …

Fibroblasts often constitute the majority of the stromal cells within a breast carcinoma, yet the
functional contributions of these cells to tumorigenesis are poorly understood. Using a …

We describe Bioconductor infrastructure for representing and computing on annotated
genomic ranges and integrating genomic data with the statistical computing features of R …

Context.—Obesity is a well-established risk factor for coronary heart disease (CHD), but
whether regional fat distribution contributes independently to risk remains unclear …

ContextReduced intake of saturated fat is widely recommended for prevention of
cardiovascular disease. The type of macronutrient that should replace saturated fat remains …

Cancer cells possess traits reminiscent of those ascribed to normal stem cells. It is unclear,
however, whether these phenotypic similarities reflect the activity of common molecular …