StemSC: A Cross-dataset Human Stemness Index for Single-cell Samples

Abstract excerpt

<title>Abstract</title> <p><bold>Background: </bold>Stemness is defined as the potential of cells for self-renewal and differentiation. Many transcriptome-based methods for stemness evaluation have been proposed. However, all these stemness indexes showed low correlations with differentiation time and the limitation to identify the high-stemness cells across datasets. <bold>Methods: </bold>Here, we constructed a...

Topics

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• Biomarkers, Tumor
• Endometrial Neoplasms
• Gene Expression Profiling
• Gene Expression Regulation, Neoplastic
• Machine Learning
• Neoplastic Stem Cells
• Single-cell and spatial transcriptomics
• Transcriptome

Identifiers and source

Literature Corpus work

470728fe-da47-5994-aae7-9e1594f63b6f

DOI

10.21203/rs.3.rs-564395/v1