SpatialMETA Paper Accepted

📄 Great news! Our paper “Integrating Cross-Sample and Cross-Modal Data for Spatial Transcriptomics and Metabolomics with SpatialMETA” has been accepted for publication in Nature Communications!

This work represents a significant advancement in spatial multi-omics analysis, providing researchers with powerful tools for integrating spatial transcriptomics and metabolomics data. As a co-author, I contributed to the comprehensive benchmark development and metrics design for this innovative approach.

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Key Contributions:

• Novel conditional variational autoencoder framework for spatial multi-omics integration
• Comprehensive benchmarking methodology for evaluating integration quality
• Cross-sample and cross-modal data integration capabilities

This collaboration with Prof. Wanlu Liu’s lab demonstrates the power of interdisciplinary research in advancing computational biology methods.

We do not grow absolutely, chronologically. We grow sometimes in one dimension, and not in another, unevenly. We grow partially. We are relative. We are mature in one realm, childish in another. —Anais Nin

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