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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Detalhes bibliográficos
Publicado no:Genes (Basel)
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: MDPI 2021
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8229796/
https://ncbi.nlm.nih.gov/pubmed/34200671
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/genes12060898
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