Abstract: This paper presents a computational framework that combines supervised machine learning and multi-objective optimization to support data-driven decision-making for resource allocation in ...

Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already known about genes, diseases, treatments, molecular pathways and symptoms in ...

Current methods to generate haplotype-resolved assemblies for highly heterozygous genomes suffer from reference bias or may generate imbalanced haplomes. Here, the authors present the PhaseGrass ...

Abstract: The objective of this paper is to implement a set of Neural Networks (NN) for the detection and recognition of handwritten digit characters. This paper is based on the Modified National ...