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 ...
Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and adjust goals even in the face of sudden changes. However, "model-free ...
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 ...
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