JSTOR Daily

Assessing the Performance of Model-Based Clustering Methods in Multivariate Time Series with Application to Identifying Regional Wind Regimes

Journal of Agricultural, Biological, and Environmental Statistics, Vol. 20, No. 2 (June 2015), pp. 192-217 (26 pages) The desire to group observations generated from multivariate time series is common ...
ascopubs.org

Deep-Learning–Based Characterization of Tumor-Infiltrating Lymphocytes in Breast Cancers From Histopathology Images and Multiomics Data

We present global cell-level TIL maps and 43 quantitative TIL spatial image features for 1,000 WSIs of The Cancer Genome Atlas patients with breast cancer. For more specific analysis, all the patients ...
Rochester Institute of Technology

Ph.D. student presents on hyperspectral imaging systems

Chase Cañas, a Ph.D. student in the Chester F. Carlson Center for Imaging Science, presented “Multivariate methods to explore system sensitivities for hyperspectral subpixel target detection” at the ...