PMC:7402624 / 74335-74721 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"2170","span":{"begin":189,"end":196},"obj":"Species"},{"id":"2173","span":{"begin":180,"end":188},"obj":"Disease"}],"attributes":[{"id":"A2170","pred":"tao:has_database_id","subj":"2170","obj":"Tax:9606"},{"id":"A2173","pred":"tao:has_database_id","subj":"2173","obj":"MESH:C000657245"}],"namespaces":[{"prefix":"Tax","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"},{"prefix":"MESH","uri":"https://id.nlm.nih.gov/mesh/"},{"prefix":"Gene","uri":"https://www.ncbi.nlm.nih.gov/gene/"},{"prefix":"CVCL","uri":"https://web.expasy.org/cellosaurus/CVCL_"}],"text":"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."}

{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T439","span":{"begin":180,"end":188},"obj":"Disease"}],"attributes":[{"id":"A439","pred":"mondo_id","subj":"T439","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"}],"text":"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."}

{"project":"LitCovid-PD-CHEBI","denotations":[{"id":"T64153","span":{"begin":58,"end":62},"obj":"Chemical"},{"id":"T67801","span":{"begin":131,"end":135},"obj":"Chemical"}],"attributes":[{"id":"A95782","pred":"chebi_id","subj":"T64153","obj":"http://purl.obolibrary.org/obo/CHEBI_22695"},{"id":"A87264","pred":"chebi_id","subj":"T67801","obj":"http://purl.obolibrary.org/obo/CHEBI_22695"}],"text":"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."}

{"project":"LitCovid-sentences","denotations":[{"id":"T462","span":{"begin":0,"end":386},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"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."}