Data Integration Core
To facilitate interactions between computational projects and experimental projects, and to ensure timely dissemination of resources, we maintain a Core for Data Integration. This core provides initial processing of complex data sets, and dissemination of them and computational tools developed in their analysis.
We aim to make all data, software, and results generated by the Stanford CCSB readily available to all researchers.
Data Portal coming soon!
Data Tools
Program
|
Description
|
Contact
|
Implementation
|
|---|---|---|---|
| Performs sparse canonical correlation analysis. | Rob Tibshirani, Ph.D. | Excel plug-in
|
|
| Manage, analyze and share flow cytometry data over the web | Help desk (info@cytobank.org) |
Web Platform
|
|
| A nonlinear method based on modeling the joint distribution of response and covariates using the Dirichlet process mixtures of linear models. | Babak Shahbaba, Ph.D. | Matlab
|
|
| Fast calculation of pairwise mutual information from gene expression microarrays for network reconstruction. | Peng Qiu, Ph.D. | Matlab
|
|
| Performs module network reconstruction. | Daphne Koller, Ph.D. | Matlab
|
|
| A computational method for extracting simple descriptions of high dimensional data sets in the form of simplicial complexes. | Gunnar Carlsson, Ph.D. | Matlab
|
|
| A computational algorithm based on a Gaussian mixture modeling to identify DNA methylation states relative to normal tissue. | Olivier Gevaert, Ph.D. | Matlab
|
|
| Performs penalized multivariate analysis. | Daniela Witten, Ph.D. | R
|
|
| A classifier that can perform both class discovery and classification. | Peng Qiu, Ph.D. | Matlab
|
|
| An analytical tool for single-cell cytometry data analysis. | Peng Qiu, Ph.D. | Matlab, R
|
|
| A computational approach to discover patterns of biological progression underlying a microarray dataset. | Peng Qiu, Ph.D. | Matlab
|