Development of a deep learning-based 1D convolutional neural network model for cross-species natural killer T cell identification using peripheral blood mononuclear cell single-cell RNA sequencing data

This study developed a 1DCNN model for cross-species NKT cell identification and identified conserved immune function genes. The approach has broad implications for identifying other cell types in comparative immunology, and future studies are needed to validate these findings.

Authors

Kaj Chokeshaiusaha (ORCID: https://orcid.org/0000-0002-2953-9101)
Denis Puthier (ORCID: https://orcid.org/0000-0002-7240-5280)
Thanida Sananmuang (ORCID: https://orcid.org/0000-0002-8653-3558)
Roongtham Kedkovid

Institutions

Inserm (FR)
Chulalongkorn University (TH)
Aix-Marseille Université (FR)
Rajamangala University of Technology Tawan-ok (TH)

Publication Details

Journal: Veterinary World
Published: 2024-12-01
DOI: https://doi.org/10.14202/vetworld.2024.2846-2857
Citations: 2
Primary Topic: Immune Cell Function and Interaction
Type: article
Field-Weighted Citation Impact: 0.48

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Development of a deep learning-based 1D convolutional neural network model for cross-species natural killer T cell identification using peripheral blood mononuclear cell single-cell RNA sequencing data

Kaj Chokeshaiusaha, Denis Puthier, Thanida Sananmuang, Roongtham Kedkovid

Dec 1, 2024

2 citations

Veterinary World

Immune Cell Function and Interaction

0.48

article

Development of a deep learning-based 1D convolutional neural network model for cross-species natural killer T cell identification using peripheral blood mononuclear cell single-cell RNA sequencing data

Kaj Chokeshaiusaha, Denis Puthier, Thanida Sananmuang, Roongtham Kedkovid

December 1, 2024article en

2 citations

Abstract

This study developed a 1DCNN model for cross-species NKT cell identification and identified conserved immune function genes. The approach has broad implications for identifying other cell types in comparative immunology, and future studies are needed to validate these findings.

Veterinary WorldVol. 17(12)

Inserm (FR), Chulalongkorn University (TH), Aix-Marseille Université (FR), Rajamangala University of Technology Tawan-ok (TH)

Openalex Percentile: Top 33%

Immune Cell Function and Interaction

0.48

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.