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Updated: Jul 17, 2025

Transcriptome Analysis of Single Cells

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

MarsGT: Multi-omics analysis for rare population inference using single-cell graph transformer.

Xiaoying Wang^1,2, Maoteng Duan³, Jingxian Li³

¹Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, 43210, USA.

Biorxiv : the Preprint Server for Biology

|August 30, 2023

Summary

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This summary is machine-generated.

MarsGT, a novel computational tool, effectively identifies rare cell populations in multi-omics single-cell data. This advancement aids in understanding diseases like cancer and developing new therapies.

Area of Science:

Computational biology
Genomics
Single-cell analysis

Background:

Rare cell populations play critical roles in disease progression and treatment outcomes.
Computational methods for identifying and analyzing rare cells often lag behind those for abundant cell types.

Conclusions:

MarsGT accurately identifies rare cell populations, providing valuable biological insights.
The tool has the potential to inform early disease detection and therapeutic intervention strategies.

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