PMC:7402624 / 74109-75186
Annnotations
LitCovid-PubTator
Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
---|---|---|---|---|---|
2163 | 61-65 | Chemical | denotes | UMAP | |
2169 | 149-157 | Species | denotes | patients | Tax:9606 |
2170 | 415-422 | Species | denotes | patient | Tax:9606 |
2171 | 751-755 | Chemical | denotes | UMAP | |
2172 | 140-148 | Disease | denotes | COVID-19 | MESH:C000657245 |
2173 | 406-414 | Disease | denotes | COVID-19 | MESH:C000657245 |
LitCovid-PD-MONDO
Id | Subject | Object | Predicate | Lexical cue | mondo_id |
---|---|---|---|---|---|
T438 | 140-148 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T439 | 406-414 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
LitCovid-PD-CLO
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T1053 | 82-83 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | A |
T1054 | 180-181 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T1055 | 217-218 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | A |
T1056 | 826-827 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | A |
T1057 | 914-915 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
LitCovid-PD-CHEBI
Id | Subject | Object | Predicate | Lexical cue | chebi_id |
---|---|---|---|---|---|
T50300 | 213-215 | Chemical | denotes | S8 | http://purl.obolibrary.org/obo/CHEBI_29385 |
T64153 | 284-288 | Chemical | denotes | base | http://purl.obolibrary.org/obo/CHEBI_22695 |
T67801 | 357-361 | Chemical | denotes | base | http://purl.obolibrary.org/obo/CHEBI_22695 |
T2551 | 888-892 | Chemical | denotes | base | http://purl.obolibrary.org/obo/CHEBI_22695 |
LitCovid-sentences
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T460 | 0-81 | Sentence | denotes | Visualizing variation of flow cytometric features across the UMAP embedding space |
T461 | 82-225 | Sentence | denotes | A feature-weighted kernel density was computed across all COVID-19 patients, and was displayed as a contour plot (Fig. 6G and fig. S8, A to D). |
T462 | 226-612 | Sentence | denotes | Whereas traditional kernel density methods apply the same base kernel function to every point to visualize point density, here the base kernel function centered at each individual COVID-19 patient sample was instead weighted (multiplied) by the Z-transform (mean-centered and standard deviation-scaled) of the log-transformed input feature prior to computing the overall kernel density. |
T463 | 613-825 | Sentence | denotes | This weighting procedure facilitated visualization of the overall feature gradients (going from relatively low-to-high expression) across UMAP coordinates independent of the different range of each input feature. |
T464 | 826-1077 | Sentence | denotes | A radially symmetric two-dimensional Gaussian was used as the base kernel function with a variance parameter equal to one-half, which was tuned to be sufficiently broad in order to smooth out local discontinuities and best visualize feature gradients. |