A Literature-Derived Knowledge Graph Augments the Interpretation of Single Cell RNA-seq Datasets
Abstract
Technology to generate single cell RNA-sequencing (scRNA-seq) datasets and tools to annotate them have advanced rapidly in the past several years. Such tools generally rely on existing transcriptomic datasets or curated databases of cell type defining genes, while the application of scalable natural language processing (NLP) methods to enhance analysis workflows has not been adequately explored. Here we deployed an NLP framework to objectively...
Paper Details
Title
A Literature-Derived Knowledge Graph Augments the Interpretation of Single Cell RNA-seq Datasets
Published Date
Jun 10, 2021
Journal
Volume
12
Issue
6
Pages
898 - 898
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