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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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Bibliographische Detailangaben
Veröffentlicht in:Genes (Basel)
Hauptverfasser: 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
Sprache:Inglês
Veröffentlicht: MDPI 2021
Schlagworte:
Online Zugang: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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