Biological cells, by definition, are the basic units which contain the fundamental molecules of
life of which all living things are composed. Understanding how they function and …

The advent of artificial intelligence has highly impacted the process of image processing and
pattern recognition, hence influencing biomedical researchers to implement machine …

Introduction Wheat sharp eyespot caused by Rhizoctonia cerealis is a serious pathogenic
disease affecting plants. The effective strategy for controlling this disease is breeding …

Abstract A Bernoulli Mixture Model (BMM) is a finite mixture of random binary vectors with
independent dimensions. The problem of clustering BMM data arises in a variety of real …

Genome-Wide Association Study (GWAS) addresses the problem of associating
subsequences of individuals' genomes to the observable characteristics called phenotypes …

In the problems of Genome-Wide Association Study (GWAS), the objective is to associate
subsequences of individual's genomes to the observable characteristics called phenotypes …

Despite their significant advancements, conventional supervised learning models can be
resource-intensive and expensive due to their reliance on large amounts of annotations. Self …

A statistical algorithm is introduced to improve the false inference of active loci, in the
population in which members are admixture. The algorithm uses an advanced clustering …

Biosensors are one of the emerging fields that deals in the development of new sensors to
identify the biological process. Biosensors were the first time used platinum electrodes to …

In the problem of population stratification, each data instance is generated based on a finite
mixture model with K mixture components and L observed variables. Each variable takes its …