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PMC:7417788 / 66946-67739 JSONTXT

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LitCovid-PMC-OGER-BB

Id Subject Object Predicate Lexical cue
T1445 86-91 SO:0002031 denotes scRNA
T1446 373-378 SO:0000466 denotes genes
T1447 411-416 SO:0000466 denotes genes
T1448 680-685 SO:0000704 denotes genes
T1449 756-761 SO:0005855 denotes genes

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T139 253-256 Disease denotes SNE http://purl.obolibrary.org/obo/MONDO_0018859

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1120 373-378 http://purl.obolibrary.org/obo/OGG_0000000002 denotes genes
T1121 594-595 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T1122 680-685 http://purl.obolibrary.org/obo/OGG_0000000002 denotes genes

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T35821 342-345 Chemical denotes PCA http://purl.obolibrary.org/obo/CHEBI_36751|http://purl.obolibrary.org/obo/CHEBI_62248

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T372 0-70 Sentence denotes Dimensionality reduction and clustering analysis of scRNA-seq datasets
T373 71-317 Sentence denotes To analyze the scRNA-seq data, we log normalized data (1 + counts per 10,000) with the ‘‘sc.pp.normalize_total’’ function before clustering, reduction and performing 2-dimensional t-SNE algorithm clustering with the first 50 principal components.
T374 318-465 Sentence denotes This was done following PCA on top 5,000 most variable genes by using “sc.pp.highly_variable_genes” function in Scanpy with the default parameters.
T375 466-672 Sentence denotes Dimensionality method and identification of significant clusters and was performed using Leiden clustering algorithm which uses a shared nearest neighbour modularity optimization-based clustering algorithm.
T376 673-793 Sentence denotes Marker genes for each significant cluster were found using the function sc.tl.rank_genes_groups with default parameters.

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
1457 707-714 Species denotes cluster Tax:100569