Supplementary Tables S6-S9 from Multimodal Approach Predicts Relapse upon Cessation of Immune Checkpoint Inhibitors in Advanced Melanoma

<p>Table S6 Correlation analysis of digital pathology parameters and area of analyzed tumor tissue. Table S7 Validation of the single cell detection and classification algorithm (metrics per cell type) Table S8. Confusion matrix for single cell classifications: prediction by algorithm vs groun...

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Glavni avtor:	Ka-Won Noh (22618441) (author)
Drugi avtorji:	Yuri Tolkach (22618444) (author), Doris Helbig (15025739) (author), Vincenzo Mitchell Barroso (22618447) (author), Yannick Foerster (22618450) (author), Max Schlaak (22618453) (author), Tilo Biedermann (10881028) (author), Reinhard Buettner (18195346) (author), Oana-Diana Persa (15045663) (author)
Izdano:	2025
Teme:	Cancer Immuno-oncology Methods and Technology Computational Methods Artificial intelligence & machine learning Immunotherapy Biomarkers for immunotherapy Checkpoint blockade Skin Cancers Melanoma
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Supplementary Tables S6-S9 from Multimodal Approach Predicts Relapse upon Cessation of Immune Checkpoint Inhibitors in Advanced Melanoma

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