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SCellBOW: AI-Driven Tumor Risk Stratification from Single-Cell Transcriptomics Using Phenotype Algebra

2022-12-30

Abstract excerpt

<h4>ABSTRACT</h4> Single-cell RNA-sequencing (scRNA-seq) coupled with robust computational analysis facilitates the characterization of phenotypic heterogeneity within tumors. Current scRNA-seq analysis pipelines are capable of identifying a myriad of malignant and non-malignant cell subtypes from single-cell profiling of tumors. However, given the extent of intra-tumoral heterogeneity, it is challenging to asses...

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Literature Corpus work
9adecf96-6766-5eb7-a20c-a7df7f2bc864
DOI
10.1101/2022.12.28.522060
Open publication

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SCellBOW: AI-Driven Tumor Risk Stratification from Single-Cell Transcriptomics Using Phenotype AlgebraDOI 10.1101/2022.12.28.522060
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