180 citations · 187 across the 6 of their papers we have counts for
6 papers
Pairwise Nonlinear Dependence Analysis of Genomic Data
Siqi Xiang, Wan Zhang, Siyao Liu +4
In The Cancer Genome Atlas (TCGA) data set, there are many interesting nonlinear dependencies between pairs of genes that reveal important relationships and subtypes of cancer. Suc…
Joint and individual analysis of breast cancer histologic images and genomic covariates
Iain Carmichael, Benjamin C. Calhoun, Katherine A. Hoadley +8
A key challenge in modern data analysis is understanding connections between complex and differing modalities of data. For example, two of the main approaches to the study of breas…
Deep Multi-View Learning via Task-Optimal CCA
Heather D. Couture, Roland Kwitt, J. S. Marron +3
Canonical Correlation Analysis (CCA) is widely used for multimodal data analysis and, more recently, for discriminative tasks such as multi-view learning; however, it makes no use…
Receiver Operating Characteristic Curves and Confidence Bands for Support Vector Machines
Daniel J. Luckett, Eric B. Laber, Samer S. El-Kamary +5
Many problems that appear in biomedical decision making, such as diagnosing disease and predicting response to treatment, can be expressed as binary classification problems. The co…
Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology
Heather D. Couture, J. S. Marron, Charles M. Perou +2
Multiple instance (MI) learning with a convolutional neural network enables end-to-end training in the presence of weak image-level labels. We propose a new method for aggregating…
Finding large average submatrices in high dimensional data
Andrey A. Shabalin, Victor J. Weigman, Charles M. Perou +1
The search for sample-variable associations is an important problem in the exploratory analysis of high dimensional data. Biclustering methods search for sample-variable associatio…