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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Λεπτομέρειες βιβλιογραφικής εγγραφής
Τόπος έκδοσης:Genes (Basel)
Κύριοι συγγραφείς: 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
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: MDPI 2021
Θέματα:
Article
Διαθέσιμο Online: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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