CITATION.cff

# YAML 1.2
# Metadata for citation of this software according to the CFF format (https://citation-file-format.github.io/)
---
authors:
  -
    affiliation: "Ragon Institute of Mass General, MIT, and Harvard"
    family-names: Deng
    given-names: Yixiang"

cff-version: "1.0.3"
date-released: 2024-08-08
license: MIT
message: "If you use this software, please cite it as below."
repository-code: "https://github.com/yixiangd/systemsseRology"
title: "systemsseRology: Machine learning tools for the analysis of systems serology data"
abstract: systemsseRology is a collection of functions used to analyze multivariate systems serology data. It provides a convenient and pipelined interface for visualizing univariate, correlations, and latent space plots of PCA and PLS-DA.
keywords:
  - "machine-learning"
  - "omics-data"
  - "visualization"
  - "correlation"
  - "principle-component-analysis"