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

399 citations

Showing 2016Show all

5 papers · 1 filter

stat.AP2016

A Nonparametric Bayesian Basket Trial Design

Yanxun Xu, Peter Mueller, Apostolia M Tsimberidou +1

Targeted therapies on the basis of genomic aberrations analysis of the tumor have shown promising results in cancer prognosis and treatment. Regardless of tumor type, trials that m…

stat.ME2016

Inferring network structure in non-normal and mixed discrete-continuous genomic data

Anindya Bhadra, Arvind Rao, Veerabhadran Baladandayuthapani

Inferring dependence structure through undirected graphs is crucial for uncovering the major modes of multivariate interaction among high-dimensional genomic markers that are poten…

math.DS2016★ 2 cited

A multiscale mathematical model of tumour invasive growth

Lu Peng, Dumitru Trucu, Ping Lin +2

Known as one of the hallmarks of cancer [30], cancer cell invasion of human body tissue is a complicated spatio-temporal multiscale process which enables a localised solid tumour t…

stat.AP2016★ 1 cited

Dynamic Prediction for Multiple Repeated Measures and Event Time Data: An Application to Parkinson's Disease

Jue Wang, Sheng Luo, Liang Li

In many clinical trials studying neurodegenerative diseases such as Parkinson's disease (PD), multiple longitudinal outcomes are collected to fully explore the multidimensional imp…

q-bio.QM2016★ 110 cited

The limitations of model-based experimental design and parameter estimation in sloppy systems

Andrew White, Malachi Tolman, Howard D. Thames +3

We explore the relationship among model fidelity, experimental design, and parameter estimation in sloppy models. We show that the approximate nature of mathematical models poses c…