This article considers the impact of different thresholding methods to the Nearest Shrunken Centroid algorithm, which is popularly referred as the Prediction Analysis of Microarrays (PAM) for high-dim
Cross-validation (CV) is often used to select the regularization parameter in high-dimensional problems. However, when applied to the sparse modeling method Lasso, CV leads to models that are unstable
Despite widespread interest in using human stem cells in neurological disease modeling, a suitable model system to study human neuronal connectivity is lacking. Here, we report a protocol for efficien
