Fig. 3
From: A Poisson reduced-rank regression model for association mapping in sequencing data
PRRR identifies optimal rank and is robust to data dimension. a Using synthetic data generated under the PRRR model with a true rank of \(R^\star = 3\), we fit PRRR with a range of rank specifications on the x-axis, where \(R^{\star } = 3\). The y-axis shows the ELBO values for each model rank. Vertical ticks represent \(95\%\) confidence intervals. b Goodness-of-fit \(R^2\) values for predictions from PRRR, a full-rank version of PRRR, and a multi-output LASSO model [51] for outcome data with dimension \(Q \in \{10, 50, 100\}\). c Goodness-of-fit \(R^2\) values for predictions from PRRR, nn-PRRR, and competing models for outcome data generated from Splatter [60]