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bostongene/Kassandra-cell-deconvolution
Kassandra-cell-deconvolution is a machine learning model from bostongene. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
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Updated May 19, 2026
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From the Hugging Face model README

Precise reconstruction of the tumor microenvironment using bulk RNA-seq and a unique machine learning-based algorithm trained on artificial transcriptomes
Here, we present Kassandra, a robust and accurate cell deconvolution tool developed for analysis of healthy tissue and tumor biopsies. Based on RNA-seq NGS data of a biological sample, Kassandra predicts cellular composition including stromal and immune elements by analyzing the gene expression. This will lead to an improved understanding of the tumor microenvironment, which is a critical factor in cancer pathogenesis, clinical outcome, and therapeutic resistance.
Kassandra is a decision tree machine learning-algorithm trained on a collection of over thousands of RNA profiles from various sorted cell types. Performance was validated on over 4,000 H&E tissue slides and more than 1,000 samples comprising normal and tumor tissues by comparison with cytometric, immunohistochemical or single-cell RNA sequencing measurements of the same tissue.

BY UTILIZING THE CODE, YOU ARE CONSENTING TO BE AND AGREE TO BE BOUND BY ALL OF THE TERMS OF THIS LIMITED LICENSE, SEE "LICENSE"