The year 2015 marks the 30th birthday of DC (Difference of Convex functions) programming
and DCA (DC Algorithms) which constitute the backbone of nonconvex programming and …

Penalized regression can improve prediction accuracy and reduce dimension. The
generalized lasso problem is used in many applications in various fields. The generalized …

Indonesia is a country that has been greatly affected by the Covid-19 pandemic. In the
almost three years that the pandemic has been going on, the spread of Covid-19 has …

Genome-wide association studies (GWAS) have led to great successes in identifying
genotype–phenotype associations for complex human diseases. In such studies, the high …

This research identified factors affecting the productivity of oil palm fresh fruit bunches (FFB)
in metric tons per ha (hectare). Current research rarely includes spatial and temporal …

The genome-wide association study (GWAS) is a popular approach to identify disease-
associated genetic factors for Alzhemer's Disease (AD). However, it remains challenging …

Effectively integrating and mining multi-view, high-dimensional omics data is instrumental to
precision medicine. Numerous methods have been proposed for addressing this problem …

The generalized lasso is a regularization method with great potential to use in spatial
analysis. The generalized lasso imposes constraints on the regression coefficients as the ℓ1 …

Imaging genetics is an emerging and promising technique that investigates how genetic
variations affect brain development, structure, and function. By exploiting disorder-related …