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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Bibliografiske detaljer
Udgivet i: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
Format: Artigo
Sprog:Inglês
Udgivet: MDPI 2021
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Article
Online adgang: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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