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Pathway-based clustering identifies two subtypes of cancer-associated fibroblasts associated with distinct molecular and clinical features in pancreatic ductal carcinoma

2024-12-20

Abstract excerpt

Existing single-cell clustering methods are based on gene expressions that are susceptible to dropout events in single-cell RNA sequencing (scRNA-seq) data. To overcome this limitation, we proposed a pathway-based clustering method for single cells (scPathClus). scPathClus first transforms single-cell gene expression matrix into pathway enrichment matrix and generates its latent feature matrix. Based on the latent...

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Literature Corpus work
d24a7534-9245-5e7e-a9db-89ca92305df6
DOI
10.1101/2024.12.17.628647
Open publication

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Pathway-based clustering identifies two subtypes of cancer-associated fibroblasts associated with distinct molecular and clinical features in pancreatic ductal carcinomaDOI 10.1101/2024.12.17.628647
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