A Bayesian framework for efficient and accurate variant prediction

a framework for identifying and prioritizing factors affecting customers’ online shopping behavior in iran

the purpose of this study is identifying effective factors which make customers shop online in iran and investigating the importance of discovered factors in online customers’ decision. in the identifying phase, to discover the factors affecting online shopping behavior of customers in iran, the derived reference model summarizing antecedents of online shopping proposed by change et al. was us...

An Efficient Framework for Accurate Arterial Input Selection in DSC-MRI of Glioma Brain Tumors

Introduction: Automatic arterial input function (AIF) selection has an essential role in quantification of cerebral perfusion parameters. The purpose of this study is to develop an optimal automatic method for AIF determination in dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) of glioma brain tumors by using a new preprocessing method.Material and Methods: For this study, ...

An accurate and efficient numerical framework for adaptive numerical weather prediction

We present an accurate and efficient discretization approach for the adaptive discretization of typical model equations employed in numerical weather prediction. A semi-Lagrangian approach is combined with the TR-BDF2 semi-implicit time discretization method and with a spatial discretization based on adaptive discontinuous finite elements. The resulting method has full second order accuracy in ...

An Efficient Bayesian Framework for Accurate Parameter Extraction from Limited Measurements

SiRen: Leveraging Similar Regions for Efficient & Accurate Variant Calling

Next-generation genomic sequencing costs are rapidly decreasing, having recently reached the $1000per-genome barrier, a likely tipping point for widespread clinical use. However, genomic analysis techniques have failed to keep pace. In particular, the process of variant calling, or inferring a sample genome from the noisy sequencing data, introduces major computational and statistical challenge...