3 papers
stat.ME2026
A Joint Bayesian Boolean Matrix Factorization with Application to Chromosomal Copy Number Alterations in Multiple Myeloma
Adolphus Wagala, Samur Mehmet, Giovanni Parmigiani
Boolean matrix factorization provides an interpretable framework for discovering latent binary patterns in high-dimensional data, yet existing methods typically analyze a single bi…
stat.ML2026
A Bayesian Boolean Matrix Factorization with Application to Copy Number Analysis in Cancer
Adolphus Wagala, Mehmet Samur, Giovanni Parmigiani
Binary data factorization is common, but real-valued methods ignore discreteness and yield hard-to-interpret factors. Boolean Matrix Factorization (BooMF) instead decomposes a bina…
stat.CO2019
PLS Generalized Linear Regression and Kernel Multilogit Algorithm (KMA) for Microarray Data Classification
Adolphus Wagala, Graciela Gonzalez-Farıas, Rogelio Ramos +1
We implement extensions of the partial least squares generalized linear regression (PLSGLR) due to Bastien et al. (2005) through its combination with logistic regression and linear…