399 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Rice UniversityUS17 papers
- The University of Texas Health Science Center at HoustonUS17 papers
- The University of Texas at AustinUS13 papers
- Harvard UniversityUS12 papers
- Baylor College of MedicineUS10 papers
- The University of Texas Southwestern Medical CenterUS9 papers
- University of PennsylvaniaUS8 papers
- Massachusetts General HospitalUS7 papers
- Stanford UniversityUS7 papers
- Technical University of MunichDE7 papers
- University of Alabama at BirminghamUS7 papers
- University of North Carolina at Chapel HillUS7 papers
5 papers · 1 filter
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…
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…
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…
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…
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…