Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2019 Mar 14;7(3):79. doi: 10.3390/microorganisms7030079

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© 2019 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

PMC Copyright notice

R Shiny App for modeling of flu vaccine HAI response. Sidebar panel displays the settings and main panel displays the result of modeling. (A) Sidebar panel displays options specifying the training and testing datasets. (B) Sidebar panel displays customization of the number of clusters, (C) selection of the regression modeling method, and (D) the number of genes filtered, including a download button for top 200 genes, where users are able to select the train and test data sets, The user can run the analysis for each tab and produce plots. Pre−loaded datasets are available by default in RData format. The web based app and source code are available at https://github.com/insilico/predictHAI and http:// insilico.utulsa.edu/predictHAI.

R Shiny App for modeling of flu vaccine HAI response. Sidebar panel displays the settings and main panel displays the result of modeling. (A) Sidebar panel displays options specifying the training and testing datasets. (B) Sidebar panel displays customization of the number of clusters, (C) selection of the regression modeling method, and (D) the number of genes filtered, including a download button for top 200 genes, where users are able to select the train and test data sets, The user can run the analysis for each tab and produce plots. Pre−loaded datasets are available by default in RData format. The web based app and source code are available at https://github.com/insilico/predictHAI and http:// insilico.utulsa.edu/predictHAI.