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Reporting and connecting cell type names and gating definitions through ontologies.

, , , , , , , , and . BMC Bioinformatics, 20-S (5): 259-264 (2019)

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CEDAR OnDemand: a browser extension to generate ontology-based scientific metadata., , , , , , , , and . BMC Bioinformatics, 19 (1): 268:1-268:6 (2018)Visual features based automated identification of fish species using deep convolutional neural networks., , , , , and . Comput. Electron. Agric., (2019)Frameworks for Querying Databases Using Natural Language: A Literature Review., , , , and . CoRR, (2019)How Representative Is a SPARQL Benchmark? An Analysis of RDF Triplestore Benchmarks., , , , , and . WWW, page 1623-1633. ACM, (2019)An Optimized Stacked Support Vector Machines Based Expert System for the Effective Prediction of Heart Failure., , , , , , , and . IEEE Access, (2019)Reporting and connecting cell type names and gating definitions through ontologies., , , , , , , , and . BMC Bioinformatics, 20-S (5): 259-264 (2019)SEBI: An Architecture for Biomedical Image Discovery, Interoperability and Reusability Based on Semantic Enrichment., , and . SWAT4LS, volume 1320 of CEUR Workshop Proceedings, CEUR-WS.org, (2014)iCyrus: A Semantic Framework for Biomedical Image Discovery., , , , and . SWAT4LS, volume 1546 of CEUR Workshop Proceedings, page 13-22. CEUR-WS.org, (2015)Convolutional neural network with batch normalization for glioma and stroke lesion detection using MRI., , , , and . Cognitive Systems Research, (2020)