Advancing in genome sequencing has greatly propelled the understanding of the living world, however, it is insufficient for full description of a biological system. Focusing on, proteomics has emerged as another large-scale platform for improving the understanding of biology. Proteomic experiments can be used for different aspects of clinical and health sciences such as food technology, biomark...

Advancing in genome sequencing has greatly propelled the understanding of the living world, however, it is insufficient for full description of a biological system. Focusing on, proteomics has emerged as another large-scale platform for improving the understanding of biology. Proteomic experiments can be used for different aspects of clinical and health sciences such as food technology, biomark...

Graph neural networks (GNNs) have been successfully applied in many structured data domains, with applications ranging from molecular property prediction to the analysis of social networks. Motivated by broad applicability GNNs, we propose family so-called RankGNNs, a combination Learning Rank (LtR) methods and GNNs. RankGNNs are trained set pair-wise preferences between graphs, suggesting that...

in the present study, for the first time, we document discovery of the predatory mite n. californicus in some rose greenhouses in yasouj, iran. furthermore, variation in spermathecal calyx shape is also discussed.