Outbreak 2.11.0 – Predict Survival of Reintroduced Populations

Outbreak 2.11.0

:: DESCRIPTION

Outbreak simulates disease dynamics under an individually base model of transitions among susceptible, exposed, infectious and recovered individuals. Outbreak provides several options for modes of transmission (random contact within populations, spatially based transmission, contact with environmental sources of disease) and provides options for management through vaccination or culling.

::DEVELOPER

The SCTI Team

:: SCREENSHOTS

:: REQUIREMENTS

Windows

:: DOWNLOAD

Outbreak

:: MORE INFORMATION

GDISC – Gene-Drug Interactions for Survival in Cancer

GDISC

:: DESCRIPTION

GDISC presents Gene-Drug Interactions for Survival in Cancer identified from integrative omic and survival analysis of TCGA data.

::DEVELOPER

Peng Qiu

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Web browser

:: DOWNLOAD

:: MORE INFORMATION

Citation

Spainhour JCG, Lim J, Qiu P.
GDISC: a web portal for integrative analysis of gene-drug interaction for survival in cancer.
Bioinformatics. 2017 May 1;33(9):1426-1428. doi: 10.1093/bioinformatics/btw830. PMID: 28453687; PMCID: PMC5859986.

SuperPC 1.05 – Survival and Regression Analysis for Microarrays

SuperPC 1.05

:: DESCRIPTION

SuperPC, written in the R language, does prediction for a censored survival outcome, or a regression outcome, using the “supervised principal component” approach. It is especially useful when the number of features p is >> n, the number of samples, for example in microarray studies.

::DEVELOPER

Rob Tibshirani

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Windows/Linux/MacOsX
R package

:: DOWNLOAD

SuperPC

:: MORE INFORMATION

Citation

PLoS Biol. 2004 Apr;2(4):E108. Epub 2004 Apr 13.
Semi-supervised methods to predict patient survival from gene expression data.
Bair E, Tibshirani R.