Predicting generalized anxiety disorder among women using Shapley value.

Mental illness is a set of health problems that affect the way individuals perceive themselves, relate to others, and interact with the world around them. Due to the myriad of underlying causes and subsequent effects of mental illness, these conditions often trigger fear and misunderstanding among the general population. Common mental illnesses such as depression and anxiety disorders often affect an individual's thoughts, feelings, abilities, and behaviours.

Multiobjective optimization to reconstruct biological networks.

Automated methods for reconstructing biological networks are becoming increasingly important in computational systems biology. Public databases containing information on biological processes for hundreds of organisms are assisting in the inference of such networks. This paper proposes a multiobjective genetic algorithm method to reconstruct networks related to metabolism and protein interaction.

Fast decision tree-based method to index large DNA-protein sequence databases using hybrid distributed-shared memory programming model.

In recent times, the size of biological databases has increased significantly, with the continuous growth in the number of users and rate of queries; such that some databases have reached the terabyte size. There is therefore, the increasing need to access databases at the fastest rates possible. In this paper, the decision tree indexing model (PDTIM) was parallelised, using a hybrid of distributed and shared memory on resident database; with horizontal and vertical growth through Message Passing Interface (MPI) and POSIX Thread (PThread), to accelerate the index building time.

Thermodynamic heuristics with case-based reasoning: combined insights for RNA pseudoknot secondary structure.

The secondary structure of RNA pseudoknots has been extensively inferred and scrutinized by computational approaches. Experimental methods for determining RNA structure are time consuming and tedious; therefore, predictive computational approaches are required. Predicting the most accurate and energy-stable pseudoknot RNA secondary structure has been proven to be an NP-hard problem.

A comparative taxonomy of parallel algorithms for RNA secondary structure prediction.

RNA molecules have been discovered playing crucial roles in numerous biological and medical procedures and processes. RNA structures determination have become a major problem in the biology context. Recently, computer scientists have empowered the biologists with RNA secondary structures that ease an understanding of the RNA functions and roles.