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Table 9 Summary of the 4 data sets used to build Bayesian models to predict cytotoxicity

From: Predicting cytotoxicity from heterogeneous data sources with Bayesian learning

Data set Source Description No. of assays No. of compounds IC50 Percent inhibition
Scripps PubChem, AID 364, 463, 464 T-Cell (Jurkat) proliferation data containing a mixture of percent inhibition and IC50 measurements 3 60503 768 59735
NCGC PubChem, AID 426 T-Cell (Jurkat) proliferation data containing IC50 measurements 1 1277 1277 0
Pfizer percent inhibition Pfizer Percent inhibition data from a variety of different cytotoxicity assays 33 83284 0 83284
Pfizer IC50 Pfizer IC50 data from a variety of different cytotoxicity assays 52 28492 28492 0