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Raphael Kirchgaessner

Showing results (1-10 of 4) with videos related to

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Biorxiv : the Preprint Server for Biology|June 4, 2025
Aggregating multimodal cancer data across unaligned embedding spaces maintains tumor of origin signalRaphael Kirchgaessner, Kaya Keutler, Layaa Sivakumar, et al.
Biorxiv : the Preprint Server for Biology|December 18, 2023
Imputing Single-Cell Protein Abundance in Multiplex Tissue ImagingRaphael Kirchgaessner, Cameron Watson, Allison Creason, et al.
Genome Biology|December 19, 2024
SyntheVAEiser: augmenting traditional machine learning methods with VAE-based gene expression sample generation for improved cancer subtype predictionsBrian Karlberg, Raphael Kirchgaessner, Jordan Lee, et al.
NPJ Precision Oncology|January 12, 2026
Predicting anti-PD-1 immune checkpoint blockade response in melanoma patients with spatially aware machine learning modelsAlyssa Pybus, Raphael Kirchgaessner, Jonathan Nguyen, et al.
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Showing results (1-10 of 4) with videos related to

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Pageof 1
Biorxiv : the Preprint Server for Biology|June 4, 2025
Aggregating multimodal cancer data across unaligned embedding spaces maintains tumor of origin signalRaphael Kirchgaessner, Kaya Keutler, Layaa Sivakumar, et al.
Biorxiv : the Preprint Server for Biology|December 18, 2023
Imputing Single-Cell Protein Abundance in Multiplex Tissue ImagingRaphael Kirchgaessner, Cameron Watson, Allison Creason, et al.
Genome Biology|December 19, 2024
SyntheVAEiser: augmenting traditional machine learning methods with VAE-based gene expression sample generation for improved cancer subtype predictionsBrian Karlberg, Raphael Kirchgaessner, Jordan Lee, et al.
NPJ Precision Oncology|January 12, 2026
Predicting anti-PD-1 immune checkpoint blockade response in melanoma patients with spatially aware machine learning modelsAlyssa Pybus, Raphael Kirchgaessner, Jonathan Nguyen, et al.
Pageof 1