title: The algorithm for cross-evaluation (ACE) of biologically active compounds.
abstract: A non-linear algorithm, ACE (Algorithm for Cross-Evaluation), was developed to correlate the activity of anti-cancer drugs against human cell lines. ACE evaluates the relationships among compounds and cell lines and displays the resulting clusters on a 3-D surface plot. This plot along with a frequency plot and rank graph provides clear information regarding the sensitivity of groups of cell lines to particular compounds. The program was tested on published anti-cancer data sets and found associations useful in the selection and design of chemotherapy drugs for pre-clinical trials. ACE may be applied to other situations where details of groupings and relationships need to be extracted from large sets of data.
authors.affiliation: Loma Linda University, Laboratory of Chemical Endocrinology, CA 92350, USA.
authors.forename: D
authors.initials: D
authors.lastname: Kantoci
mesh_terms: D000465:Algorithms; D000970:Antineoplastic Agents / Q000494:pharmacology*; D006801:Humans; D014407:Tumor Cells, Cultured
chemical_list: D000970:Antineoplastic Agents