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TL;DR: It is shown that the hypothesis formation problem can be translated into an abduction problem and this translation facilitates the complexity analysis and an efficient implementation of the proposed action language based framework for hypothesis formation for signaling networks.

TL;DR: It is shown that the combination of promoter CpG content and methylation level informs the ability of decitabine treatment to up-regulate gene expression, and a classifier is built to predict gene up-regulation based on promoter methylation and C pG content, which achieves a performance of 0.77 AUC.

TL;DR: An action language is proposed that allows for refinements of biological knowledge, although at a higher cost in terms of complexity.

TL;DR: This paper proposes to enrich PubMed with a new type of related article link based on citations within a single sentence (i.e. sentence level co-citations or SLCs), and demonstrates that articles linked by S LCs are highly related.