One of the fastest advancing areas of modern science is functional genomics. This science
seeks to understand how the complete complement of molecular components of living …

Multi-relational data mining has become popular due to the limitations of propositional
problem definition in structured domains and the tendency of storing data in relational …

Relational Tri-training (R-Tri-training for short), as a relational semi-supervised learning
system, can effectively exploit unlabeled examples to improve the generalization ability …

Metabolic pathways are seen as high criticalities in our understanding of mechanisms of
biological functions. This article focuses on automatic synthesis of the metabolic pathways …

Due to the increase in the amount of relational data that is being collected and the limitations
of propositional problem definition in relational domains, multi-relational data mining has …

Artificial Intelligence and constraint programing find in the formal description of cell's
interactions a field of inquiry well suited. Particularly, the questions concerning the …

Abstract Concept discovery is a multi-relational data mining task for inducing definitions of a
specific relation in terms of other relations in the data set. Such learning tasks usually have …

The analysis of high-throughput metagenomic sequencing data poses significant
computational challenges. Most current de novo assembly tools use the de Bruijn graph …

Today, the pace of progress in fermentation is fast and furious, particularly since the advent
of genetic engineering and the recent advances in computer sciences and process control …

Microorganisms plays a central role in the production of a wide range of industrial
chemicals, enzymes and antibiotics. The rate of product formation in a given industrial …