Software

• High-dimensional fused lasso regression using majorization-minimization and parallel processing. (Matlab / CUDA C source codes)

• Comparative study of computational algorithms for the Lasso with high-dimensional, highly correlated data. (Matlab codes)

• Enhanced construction of gene regulatory networks using hub gene information. (R package / Manual)

• Fused Lasso Regression for Identifying differential Correlations in Brain Connectome Graphs (R package / Manual / Precision Matrix, Data set Generation)

• A peeling algorithm for multiple testing on a random field (Datasets / Source codes)

• Truncated Rank Correlation in Mass Spectrometry Data (R package / Manual )

• An efficient parallel block coordinate descent algorithm for large-scale precision matrix estimation using graphics processing units. (Linux platform with CUDA GPU device, R package / Manual )

• An efficient GPU-Parallel Coordinate Descent Algorithm for Sparse Precision Matrix Estimation via Scaled Lasso. (Linux platform with CUDA GPU device, R package / Manual )

• Comparative study of CUDA GPU implementations in Python with the fast iterative shrinkage-thresholding algorithm for LASSO. (CUDA C source codes and Jupyter Notebook files)