SegJointGene: segmentación celular conjunta y priorización de genes espaciales mediante redes neuronales...

Sus antecedentes:

• Accurate cell segmentation is crucial for spatial sequencing technologies to study molecular organization in tissues.
• Segmentation solely on nuclear staining is insufficient in dense tissues, necessitating integration of molecular data like gene expression.
• Integrating molecular information for segmentation is computationally challenging.

Conclusiones:

• SegJointGene effectively integrates imaging and molecular data for accurate cell segmentation and gene prioritization in spatial biology.
• The framework enhances understanding of spatial tissue organization by identifying key genes driving cell morphology and boundaries.
• Offers a computationally efficient and robust solution for complex spatial omics data analysis.