Featurizing Koopman mode decomposition for robust forecasting.

This article introduces an advanced Koopman mode decomposition (KMD) technique-coined Featurized Koopman Mode Decomposition (FKMD)-that uses delay embedding and a learned Mahalanobis distance to enhance analysis and prediction of high-dimensional dynamical systems. The delay embedding expands the observation space to better capture underlying manifold structures, while the Mahalanobis distance adjusts observations based on the system's dynamics. This aids in featurizing KMD in cases where good features are not a priori known.

Module representatives for refining gene co-expression modules.

This paper concerns the identification of gene co-expression modules in transcriptomics data, i.e. collections of genes which are highly co-expressed and potentially linked to a biological mechanism.

Pathway expression analysis.

This paper introduces a pathway expression framework as an approach for constructing derived biomarkers. The pathway expression framework incorporates the biological connections of genes leading to a biologically relevant model. Using this framework, we distinguish between shedding subjects post-infection and all subjects pre-infection in human blood transcriptomic samples challenged with various respiratory viruses: H1N1, H3N2, HRV (Human Rhinoviruses), and RSV (Respiratory Syncytial Virus).

Digital radiology at the University of California, Los Angeles: a feasibility study. 1983.

This paper describes a set of feasibility studies on converting the Department of Radiological Sciences, UCLA from a film based operation to a digital based operation. The studies address the following topics: the departmental facility, the operating procedure and cost, a cost effective analysis and a proposed digital based operating system. In addition, we examine three prototype projects being carried out in our department.