AIKYATAN: mapping distal regulatory elements using convolutional learning on GPU

Discriminative Convolutional Sum-Product Networks on GPU

Sum-Product Networks (SPNs) are a deep architecture recently proposed for image classification and modeling. In contrast to loopy graphical models commonly used in computer vision, exact inference and learning in SPNs is tractable. As long as consistency and completeness are ensured, an SPN allows to efficiently calculate the partition function and all marginals of graphical models. The propose...

the effect of vocabulary instruction through semantic mapping on learning and recall of efl learners

چکیده ندارد.

Diverse functions of distal regulatory elements at the IFNG locus.

Previous studies have identified multiple conserved noncoding sequences (CNS) at the mouse Ifng locus sufficient for enhancer activity in cell-based assays. These studies do not directly address biology of the human IFNG locus in a genomic setting. IFNG enhancers may be functionally redundant or each may be functionally unique. We test the hypothesis that each IFNG enhancer has a unique necessa...

Are Required to Achieve Selective Cutting Edge: Distal Regulatory Elements

Finding distal regulatory elements in the human genome.

Transcriptional regulation of human genes depends not only on promoters and nearby cis-regulatory elements, but also on distal regulatory elements such as enhancers, insulators, locus control regions, and silencing elements, which are often located far away from the genes they control. Our knowledge of human distal regulatory elements is very limited, but the last several years have seen rapid ...