H1N1_Flow: Prediction of H1N1 postvaccination response based on...

In candialab/eNetXplorer: Exploration of elastic net families for generalized linear models

Description

Data from a cohort of healthy subjects vaccinated against influenza virus H1N1. Cell subpopulation frequencies from deep-phenotyping flow cytometry were determined longitudinally pre- (days -7, 0) and post-vaccination (days 1, 7, 70). The response is the adjusted maximum fold change (adjMFC) of serum titers at day 70 relative to baseline, as defined in Tsang et al (2014)

Usage

data(H1N1_Flow)

Format

For each timepoint, a numerical matrix of predictors is provided with subjects as rows and cell subpopulations as columns. The serum titer response is a named numerical vector. A metadata file with cell subpopulation annotations is also provided.

References

Tsang, J.S. et al. (2014) Global Analyses of Human Immune Variation Reveal Baseline Predictors of Postvaccination Responses,
Cell 157, 499-513.

Examples

data(H1N1_Flow)

candialab/eNetXplorer documentation built on May 21, 2019, 12:03 p.m.