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

Correlate

Performs sparse canonical correlation analysis. Rob Tibshirani, Ph.D.

Excel plug-in

Cytobank

Manage, analyze and share flow cytometry data over the web

Help desk (info@cytobank.org)

Web Platform

DPM

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

FastPairMI

Fast calculation of pairwise mutual information from gene expression microarrays for network reconstruction. Peng Qiu, Ph.D.

Matlab

Lirnet

Performs module network reconstruction. Daphne Koller, Ph.D.

Matlab

Mapper

A computational method for extracting simple descriptions of high dimensional data sets in the form of simplicial complexes. Gunnar Carlsson, Ph.D.

Matlab

MethylMix

A computational algorithm based on a Gaussian mixture modeling to identify DNA methylation states relative to normal tissue. Olivier Gevaert, Ph.D.

Matlab

PMA

Performs penalized multivariate analysis. Daniela Witten, Ph.D.

R

SPACC

A classifier that can perform both class discovery and classification. Peng Qiu, Ph.D.

Matlab

SPADE

An analytical tool for single-cell cytometry data analysis. Peng Qiu, Ph.D.

Matlab, R

SPD

A computational approach to discover patterns of biological progression underlying a microarray dataset. Peng Qiu, Ph.D.

Matlab

ssBC Subgroup-specific gene-centering method to perform molecular subtyping on a study cohort Xi Zhao, PhD R