Semantic similarity between concepts in knowledge graphs is essential for several bioinformatics applications, including the prediction of protein-protein interactions and discovery associations diseases genes. Although describe entities terms perspectives (or semantic aspects), state-of-the-art measures are general-purpose. This can represent a challenge since different use cases application m...

The study of genetic variation and phylogenetic relationships is essential for the efficient selection of superior plant material and conducting introgression breeding programs. In Iran, despite the wide geographical distribution of grasses no report is available on the genetic diversity and relationships of cool season grass populations. In this study amplified fragment length polymorphism (AF...

background: accurate identification of sheep nematodes is a critical point in epidemiological studies and monitoring of drug resistance in flocks. however, due to a close morphological similarity between the eggs and larval stages of many of these nematodes,such identification is not a trivial task. there are a number of studies showing that molecular targets in ribosomal dna (internal transcri...

We present a case study on the role of syntactic structures towards resolving the Semantic Textual Similarity (STS) task. Although various approaches have been proposed, the research of using syntactic information to determine the semantic similarity is a relatively under-researched area. At the level of syntactic structure, it is not clear how significant the syntactic structure contributes to...