output
20032026
most citedGPU-based Low Dose CT Reconstruction via Edge-preserving Total Variation Regularization

399 citations

Showing 2013Show all

10 papers · 1 filter

q-bio.PE2013★ 2 cited

Genome-wide scan of 29,141 African Americans finds no evidence of selection since admixture

Gaurav Bhatia, Arti Tandon, Melinda C. Aldrich +44

We scanned through the genomes of 29,141 African Americans, searching for loci where the average proportion of African ancestry deviates significantly from the genome-wide average.…

physics.acc-ph2013★ 1 cited

Response to comment on theoretical RF field limits of multilayer coating structures of superconducting resonator cavities

Sam Posen, Gianluigi Catelani, Matthias U. Liepe +2

A comment to the authors' SRF Conference pre-print [1] was submitted by A. Gurevich to the arXiv [2]. In this response, we show that the arguments used in the comment are not valid…

stat.ME2013★ 1 cited

Bayesian sparse graphical models and their mixtures using lasso selection priors

Rajesh Talluri, Veerabhadran Baladandayuthapani, Bani K. Mallick

We propose Bayesian methods for Gaussian graphical models that lead to sparse and adaptively shrunk estimators of the precision (inverse covariance) matrix. Our methods are based o…

stat.ME2013

Bayesian Decision-optimal Interval Designs for Phase I Clinical Trials

Suyu Liu, Ying Yuan

Interval designs are a class of phase I trial designs for which the decision of dose assignment is determined by comparing the observed toxicity rate at the current dose with a pre…

physics.acc-ph2013★ 3 cited

Theoretical Field Limits for Multi-Layer Superconductors

Sam Posen, Gianluigi Catelani, Matthias U. Liepe +2

The SIS structure---a thin superconducting film on a bulk superconductor separated by a thin insulating film---was propsed as a method to protect alternative SRF materials from flu…

q-bio.MN2013★ 199 cited

Perturbation Biology: inferring signaling networks in cellular systems

Evan J. Molinelli, Anil Korkut, Weiqing Wang +13

We present a new experimental-computational technology of inferring network models that predict the response of cells to perturbations and that may be useful in the design of combi…

stat.ME2013★ 2 cited

Likelihood Adaptively Modified Penalties

Yang Feng, Tengfei Li, Zhiliang Ying

A new family of penalty functions, adaptive to likelihood, is introduced for model selection in general regression models. It arises naturally through assuming certain types of pri…

stat.AP2013★ 11 cited

Network Inference Using Steady State Data and Goldbeter-Koshland Kinetics

Chris J Oates, Bryan T Hennessy, Yiling Lu +2

Network inference approaches are widely used to shed light on regulatory interplay between molecular players such as genes and proteins. Biochemical processes underlying networks o…

cond-mat.mes-hall2013★ 163 cited

In-vivo magnetic resonance imaging of hyperpolarized silicon particles

M. C. Cassidy, H. R. Chan, B. D. Ross +2

Silicon-based micro and nanoparticles have gained popularity in a wide range of biomedical applications due to their biocompatibility and biodegradability in-vivo, as well as a fle…

math.ST2013★ 63 cited

Posterior convergence rates for estimating large precision matrices using graphical models

Sayantan Banerjee, Subhashis Ghosal

We consider Bayesian estimation of a precision matrix, when can be much larger than the available sample size . It is well known that consistent estimation in su…