Abstract: The present invention provides data analysis methods for the rapid location of subsets of large, multivariable biological datasets that are of most interest for further analysis, for the investigation of molecular modes of action of biological phenomena of interest, and for the identification of sets of data points that best distinguish between experimental groups in larger datasets as putative biomarkers. While existing methods for analyzing large biological datasets generally provide too much information to the user, or not enough, the methods of the present invention entail taking user input on what kinds of trends are of interest and then finding results that match the designated trend. In such manner, the methods of the invention allow a user to quickly pinpoint the subset of data of most interest without a concomitant loss of a large percentage of relevant information, as is typical with standard methods.

Abstract: The present invention provides methods for identifying and evaluating suites of biochemical and/or gene entities useful as biomarkers for early prediction of disease and/or toxicity, disease staging, target identification/validation, and monitoring of drug efficacy/toxicity. The present invention further provides suites of small molecule entities as biomarkers for non-invasive and early prediction of hepatic injury.

Abstract: The invention relates to compounds of the formula ##STR1## wherein R.sub.1, R.sub.2, R.sub.2 ' X, Y, Z, A, B, Q and n are as described herein. Their pharmaceutically acceptable salts, and when appropriate, enantiomers, racemates, diastereomers or mixtures thereof or geometric isomer or mixtures thereof, and pharmaceutically acceptable salts thereof. The compounds of formula I inhibit enzyme carnitine acyltransferase 1 (CAT-1) and are therefore useful in the prevention of injury to ischemic tissue, and can limit infarct size, improve cardiac function and prevent arrhythmias during and following a myocardial infarction.