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PMC:7574920 / 57782-58709 JSONTXT

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LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T463 124-126 http://purl.obolibrary.org/obo/CLO_0001382 denotes 48
T464 392-393 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
397 669-675 Disease denotes Wilson MESH:D006527

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T303 257-259 http://purl.obolibrary.org/obo/GO_0001171 denotes RT
T304 305-307 http://purl.obolibrary.org/obo/GO_0001171 denotes RT
T305 361-363 http://purl.obolibrary.org/obo/GO_0001171 denotes RT
T306 466-468 http://purl.obolibrary.org/obo/GO_0001171 denotes RT
T307 525-527 http://purl.obolibrary.org/obo/GO_0001171 denotes RT

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T415 0-20 Sentence denotes Statistical analysis
T416 21-158 Sentence denotes Except where otherwise noted, all data were analyzed with R (46) using the tidyverse (47) and ggplot2 (48) system or with GraphPad Prism.
T417 159-237 Sentence denotes Sensitivity and specificity values were obtained from count tables as follows:
T418 238-375 Sentence denotes Specificity of the RT-LAMP assay was calculated as the fraction of RT-qPCR–negative samples that were also negative in the RT-LAMP assay.
T419 376-539 Sentence denotes Sensitivity for a given CT interval was calculated as the fraction of all samples with an RT-qPCR CT value in that interval that was positive in the RT-LAMP assay.
T420 540-762 Sentence denotes In both cases, 95% confidence intervals were calculated by interpreting the fractions of counts as binomial rates and then using Wilson’s method for binomial confidence intervals as implemented in the R package binom (49).
T421 763-927 Sentence denotes The R code used to perform analyses and produce figures can be found on GitHub, together with all data tables: https://github.com/anders-biostat/LAMP-Paper-Figures.