The algorithm for cross-evaluation (ACE) of biologically active compounds.
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.
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Loma Linda University, Laboratory of Chemical Endocrinology, CA 92350, USA.
D000465:Algorithms; D000970:Antineoplastic Agents / Q000494:pharmacology*; D006801:Humans; D014407:Tumor Cells, Cultured
D000970:Antineoplastic Agents