A Literature-Derived Knowledge Graph Augments the Interpretation of Single Cell RNA-seq Datasets

A Literature-Derived Knowledge Graph Augments the Interpretation of Single Cell RNA-seq Datasets

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...

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Bibliographic Details
Main Authors: Deeksha Doddahonnaiah, Patrick J. Lenehan, Travis K. Hughes, David Zemmour, Enrique Garcia-Rivera, A. J. Venkatakrishnan, Ramakrishna Chilaka, Apoorv Khare, Akhil Kasaraneni, Abhinav Garg, Akash Anand, Rakesh Barve, Viswanathan Thiagarajan, Venky Soundararajan
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Genes
Subjects:
single cell genomics
natural language processing
Online Access:https://www.mdpi.com/2073-4425/12/6/898

Internet

https://www.mdpi.com/2073-4425/12/6/898

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