Open Access. Powered by Scholars. Published by Universities.®
- Institution
-
- COBRA (10)
- Old Dominion University (4)
- University of Nebraska - Lincoln (3)
- Georgia Southern University (2)
- Rose-Hulman Institute of Technology (2)
-
- Virginia Commonwealth University (2)
- Binghamton University (1)
- City University of New York (CUNY) (1)
- Dartmouth College (1)
- Illinois State University (1)
- The Texas Medical Center Library (1)
- University of Kentucky (1)
- University of Rhode Island (1)
- University of Texas Rio Grande Valley (1)
- Western University (1)
- Keyword
-
- Bioinformatics (4)
- Computational biology (3)
- Bootstrap (2)
- Gene expression (2)
- Graph theory (2)
-
- Machine learning (2)
- Agent-based model (1)
- Applied math (1)
- Beta mixture; DNA methylation; cancer; epigenetics; mixture model (1)
- Biased diffusion (1)
- Biodiversity loss (1)
- Bioinformatic game theory (1)
- Biological metadata (1)
- Biology (1)
- Biomedical signal processing (1)
- Biophysics (1)
- Bombay Phenotype (1)
- Cancer (1)
- Cerebrovascular circulation (1)
- Chemical Langevin Equation (1)
- Chemical Master Equation (1)
- Cholera model (1)
- Cholera modelling (1)
- Clonal evolution (1)
- Clustering (1)
- Compendium (1)
- Computational modeling (1)
- Computer simulation (1)
- Computing (1)
- Convolutional neural network (1)
- Publication Year
- Publication
-
- Bioconductor Project Working Papers (3)
- Mathematics & Statistics Faculty Publications (3)
- Electronic Theses and Dissertations (2)
- Harvard University Biostatistics Working Paper Series (2)
- Mathematical Sciences Technical Reports (MSTR) (2)
-
- UW Biostatistics Working Paper Series (2)
- Annual Symposium on Biomathematics and Ecology Education and Research (1)
- Biological Sciences Faculty Publications (1)
- Biology and Medicine Through Mathematics Conference (1)
- COBRA Preprint Series (1)
- Complex Biosystems PhD Program: Dissertations (1)
- Dartmouth Scholarship (1)
- Department of Mathematics: Dissertations, Theses, and Student Research (1)
- Dissertations & Theses (Open Access) (1)
- Dissertations, Theses, and Capstone Projects (1)
- Electronic Thesis and Dissertation Repository (1)
- Northeast Journal of Complex Systems (NEJCS) (1)
- Research Symposium (1)
- Senior Honors Projects (1)
- The University of Michigan Department of Biostatistics Working Paper Series (1)
- Theses and Dissertations (1)
- Theses and Dissertations--Mathematics (1)
- Transactions of the Nebraska Academy of Sciences and Affiliated Societies (1)
- U.C. Berkeley Division of Biostatistics Working Paper Series (1)
- Publication Type
Articles 31 - 32 of 32
Full-Text Articles in Computational Biology
Simple Parallel Statistical Computing In R, Anthony Rossini, Luke Tierney, Na Li
Simple Parallel Statistical Computing In R, Anthony Rossini, Luke Tierney, Na Li
UW Biostatistics Working Paper Series
Theoretically, many modern statistical procedures are trivial to parallelize. However, practical deployment of a parallelized implementation which is robust and reliably runs on different computational cluster configurations and environments is far from trivial. We present a framework for the R statistical computing language that provides a simple yet powerful programming interface to a computational cluster. This interface allows the development of R functions that distribute independent computations across the nodes of the computational cluster. The resulting framework allows statisticians to obtain significant speed-ups for some computations at little additional development cost. The particular implementation can be deployed in heterogeneous computing …
Literate Statistical Practice, Anthony Rossini, Friedrich Leisch
Literate Statistical Practice, Anthony Rossini, Friedrich Leisch
UW Biostatistics Working Paper Series
Literate Statistical Practice (LSP, Rossini, 2001) describes an approach for creating self-documenting statistical results. It applies literate programming (Knuth, 1992) and related techniques in a natural fashion to the practice of statistics. In particular, documentation, specification, and descriptions of results are written concurrently with writing and evaluation of statistical programs. We discuss how and where LSP can be integrated into practice and illustrate this with an example derived from an actual statistical consulting project. The approach is simplified through the use of a comprehensive, open source toolset incorporating Noweb, Emacs Speaks Statistics (ESS), Sweave (Ramsey, 1994; Rossini, et al, 2002; …