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Updated: Jul 12, 2025

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
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Corrigendum: Applications and techniques for fast machine learning in science.

Allison McCarn Deiana1, Nhan Tran2,3, Joshua Agar4

  • 1Department of Physics, Southern Methodist University, Dallas, TX, United States.

Frontiers in Big Data
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PubMed
Summary
This summary is machine-generated.

This study corrects a previous article DOI. The updated information ensures accurate citation and retrieval of scientific data for researchers.

Keywords:
big datacodesigncoprocessorsfast machine learningheterogeneous computingmachine learning for scienceparticle physics

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Area of Science:

  • Data Science
  • Scientific Publishing

Context:

  • Correction of a previously published article DOI.
  • Ensuring accurate citation and data retrieval.

Purpose:

  • To provide the correct Digital Object Identifier (DOI) for the article.
  • To facilitate proper referencing and access to the research.

Summary:

  • The article DOI has been corrected to 10.3389/fdata.2022.787421.
  • This ensures the integrity of scientific records.

Impact:

  • Improved discoverability of the research article.
  • Enhanced reliability of scientific literature referencing.