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Updated: Jun 6, 2025

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Exploring structured molecular landscape from single-cell multi-omics data by an explainable multimodal model.

Hui Tang1, Jia-Yuan Zhong1, Xiang-Tian Yu2

  • 1School of Mathematics, Foshan University, Foshan 528000, China.

Iscience
|December 2, 2024
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Summary
This summary is machine-generated.

Vec3D, an explainable AI model, defines cellular states and their molecular landscape, improving multimodal data analysis. This approach reveals cell state markers and dynamics, advancing AI-for-biology applications.

Keywords:
Artificial intelligenceBiocomputational methodComputational bioinformaticsOmics

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Area of Science:

  • Computational Biology
  • Artificial Intelligence
  • Genomics

Background:

  • Conventional cellular landscape analysis limits the interpretation of single-cell genomic data.
  • There is a need for advanced computational methods to integrate multimodal biological data.

Purpose of the Study:

  • To introduce Vec3D, a multimodal explainable AI model, for defining cellular states and their distribution.
  • To create a structured molecular landscape (SML) for enhanced biological data interpretation.
  • To improve the accuracy and efficiency of multimodal data analysis.

Main Methods:

  • Development of Vec3D, a multimodal explainable AI (xAI) model.
  • Application of Vec3D to CITE-seq data from human peripheral blood mononuclear cells (PBMCs).
  • Analysis of spatial-temporal SML to characterize molecular dynamics during human lung development.

Main Results:

  • Vec3D significantly enhances accuracy and efficiency in multimodal data analysis.
  • An SML was learned, revealing predictive multi-label cell states and joint markers from genes and proteins.
  • Spatial-temporal SML effectively characterized molecular dynamics of cell lineages in human lung development.

Conclusions:

  • Vec3D provides a unified framework for understanding cellular homeostasis and imbalance through SML dynamics.
  • The model offers a broadly applicable computational method within the "AI-for-biology" paradigm.
  • Vec3D maximizes the translational use and interpretation of single-cell genomic techniques.