scKEPLM: Knowledge enhanced large-scale pre-trained language model for single-cell transcriptomics

Abstract excerpt

The success of large-scale pre-trained language models in the Natural Language Processing (NLP) domain has encouraged their adoption in genomics and single-cell biology. Developing pre-trained models using the rapidly growing single-cell transcriptomic data helps to unravel the intricate language of cells. However, current single-cell pre-trained models primarily focus on learning gene and cell representations fro...

Topics

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• Cluster Analysis
• Gene Expression Profiling
• Neural Networks, Computer
• Phenotype
• RNA-Seq
• Sequence Analysis, RNA
• Single-Cell Analysis
• Single-Cell Gene Expression Analysis

Identifiers and source

Literature Corpus work

4afa60cb-aec8-5c81-b8c7-421175a84b7a

DOI

10.1101/2024.07.09.602633