A Multidomain Layered Approach in Development of Industrial Ontology to Support Domain Identification for Unstructured Text
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2018.2835567
Abstract: Due to the emergence of digital revolution and competitiveness in recent decades, almost all organizations and industries intend to develop solutions to extract information from unstructured documents. These documents comprise of information related to multiple… read more here.
Keywords: information; ontology; domain identification; unstructured text ... See more keywords
Spatial domain identification method based on multi-view graph convolutional network and contrastive learning
Sign Up to like & getrecommendations! Published in 2025 at "PLOS Computational Biology"
DOI: 10.1371/journal.pcbi.1013369
Abstract: Spatial transcriptomics is a rapidly developing field of single-cell genomics that quantitatively measures gene expression while providing spatial information within tissues. A key challenge in spatial transcriptomics is identifying spatially structured domains, which involves analyzing… read more here.
Keywords: graph convolutional; view graph; domain identification; learning ... See more keywords
SpaVGN: A hybrid deep learning framework for high-resolution spatial transcriptomics data reconstruction and spatial domain identification
Sign Up to like & getrecommendations! Published in 2025 at "PLOS One"
DOI: 10.1371/journal.pone.0329122
Abstract: Spatial transcriptomics has revolutionized the analysis of gene expression while preserving tissue spatial information, which provides novel insights into the cellular composition and function of complex biological tissues. However, current technologies are constrained by limited… read more here.
Keywords: deep learning; spatial transcriptomics; spatial domain; resolution ... See more keywords