Background: Correlations between polymorphic markers and observed phenotypes provide the basis for mapping traits in quantitative genetics. When the phenotype is gene expression, ...
Background: We have recently introduced a predictive framework for studying gene transcriptional regulation in simpler organisms using a novel supervised learning algorithm called...
Anshul Kundaje, Manuel Middendorf, Mihir Shah, Chr...
LOGO has been evolving in incremental steps for 40 years. This has resulted in steady progress but some regions of the space of all programming languages for children cannot be re...
We examine how the biomedical informatics (BMI) community, especially consortia that share data and applications, can take advantage of a new resource called cloud computing. Clou...
Arnon Rosenthal, Peter Mork, Maya Hao Li, Jean Sta...
In this paper, we present a compositional boosting algorithm for detecting and recognizing 17 common image structures in low-middle level vision tasks. These structures, called &q...