The Stanford Data Miner: a novel approach for integrating and exploring heterogeneous immunological data.

ABSTRACT:

Background

Systems-level approaches are increasingly common in both murine and human translational studies. These approaches employ multiple high information content assays. As a result, there is a need for tools to integrate heterogeneous types of laboratory and clinical/demographic data, and to allow the exploration of that data by aggregating and/or segregating results based on particular variables (e.g., mean cytokine levels by age and gender).

Methods

Here we describe the application of standard data warehousing tools to create a novel environment for user-driven upload, integration, and exploration of heterogeneous data. The system presented here currently supports flow cytometry and immunoassays performed in the Stanford Human Immune Monitoring Center, but could be ap

SUBMITTER: Siebert JC 

PROVIDER: S-EPMC3358233 | biostudies-literature | 2012 Mar

REPOSITORIES: biostudies-literature