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A new classification and regression tool, Random Forest, is introduced and investigated for predicting a compound's quantitative or categorical biological activity based on a quantitative description of the compound's molecular structure. Random Forest is an ensemble of unpruned classification or regression trees created by using bootstrap samples of the(More)
UNLABELLED Atherosclerosis imaging with 18F-FDG PET is useful for tracking inflammation within plaque and monitoring the response to drug therapy. Short-term reproducibility of this technique in peripheral artery disease has not been assessed, and the optimal method of 18F-FDG quantification is still debated. We imaged 20 patients with vascular disease(More)
Two genetically engineered, conditional mouse models of lung tumor formation, K-ras(LSL-G12D) and K-ras(LSL-G12D)/p53(LSL-R270H), are commonly used to model human lung cancer. Developed by Tyler Jacks and colleagues, these models have been invaluable to study in vivo lung cancer initiation and progression in a genetically and physiologically relevant(More)
A classification and regression tool, J. H. Friedman's Stochastic Gradient Boosting (SGB), is applied to predicting a compound's quantitative or categorical biological activity based on a quantitative description of the compound's molecular structure. Stochastic Gradient Boosting is a procedure for building a sequence of models, for instance regression(More)
Palladio is a circuit design environment for experimenting with methodologies and knowledge-based, expert-system design aids. Its framework is based on several premises about circuit design: (1) circuit design is a process of incremental refinement; (2) it is an exploratory process in which design specifications and design goals coevolve; and (3) most(More)
Constructing hydrodynamic low-order models in the form of coupled gyrostats eliminates the possibility of certain unphysical behaviors, such as solutions diverging to infinity, that often appear in models resulting from ad hoc truncations of Galerkin approximations. In this paper, a simple low-order model in a gyrostatic form that conserves energy in the(More)
Outlying samples are sought in a very high-dimensional data set, a library of mass spectra. Such samples are considered novel from the chemical structure point of view and are identified for further investigation of their potential biological activity. The support vector machine algorithm for domain description (Tax & Duin 1999; Schölkopf et al. 2000, 2001)(More)
Improved methods for non-invasive in vivo assessment are needed to guide development of animal models of atherosclerosis and to evaluate target engagement and in vivo efficacy of new drugs. Using novel 3D-micro-ultrasound technology, we developed and validated a novel protocol for 3D acquisition and analysis of imaging to follow lesion progression in(More)