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Immune Cell Infiltration Mapping via Spatial Transcriptomics Deconvolution

Ai Cancer Biology

Spatial Transcriptomics AI in Cancer Research

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Ai Cancer Biology › Spatial Transcriptomics AI in Cancer Research

Immune Cell Infiltration Mapping via Spatial Transcriptomics Deconvolution

This study applies machine learning deconvolution algorithms to spatial transcriptomic data to map immune cell populations and their functional states with high spatial resolution in tumor tissues. The research enables discovery of spatial immunological patterns that correlate with tumor control and identifies immune desert regions amenable to therapeutic intervention.

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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal

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