A dataset inspired by data collected by the Early Detection Research Network (EDRN). Biomarkers developed at six "labs" are validated at at least one of four "validation sites" on 306 cysts. The data also include two binary outcome variables: whether or not the cyst was classified as mucinous, and whether or not the cyst was determined to have high malignant potential.
biomarkersbiomarkers: a tibble with 306 rows and 24 columns, where the first
column is the validation site, the next two columns are the possible outcomes,
and the remaining columns are the biomarkers:
the validation site
a binary indicator of whether the cyst was classified as mucinous
a binary indicator of whether the cyst was classified as having high malignant potential
a biomarker
a biomarker
a biomarker
a biomarker
a biomarker
a biomarker
a biomarker
a biomarker
a biomarker (binary)
a biomarker (binary)
a biomarker (binary)
a biomarker
a biomarker
binary indicator of whether lab1_molecules_score > 25
binary indicator of whether lab1_telomerase_score > 730
binary indicator of whether lab2_fluorescence_score > 1.23
binary indicator of whether lab4_areg_score > 112
binary indicator of whether lab4_glucose_score < 50
binary indicator of whether lab4_areg_score > 112 and lab4_glucose_score < 50
binary indicator of whether lab6_ab_score > 0.104
binary indicator of whether cea > 192
Inspired by data collected by the EDRN https://edrn.nci.nih.gov/.