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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Detalles Bibliográficos
Autores principales: Doddahonnaiah, Deeksha, Lenehan, Patrick J., Hughes, Travis K., Zemmour, David, Garcia-Rivera, Enrique, Venkatakrishnan, A. J., Chilaka, Ramakrishna, Khare, Apoorv, Kasaraneni, Akhil, Garg, Abhinav, Anand, Akash, Barve, Rakesh, Thiagarajan, Viswanathan, Soundararajan, Venky
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8229796/
https://www.ncbi.nlm.nih.gov/pubmed/34200671
http://dx.doi.org/10.3390/genes12060898

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8229796/
https://www.ncbi.nlm.nih.gov/pubmed/34200671
http://dx.doi.org/10.3390/genes12060898

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