 |
| CrossRef Text and Data Mining |
| Result of CrossRef Text and Data Mining Search is the related articles with entitled article. If you click link1 or link2 you will be able to reach the full text site of selected articles; however, some links do not show the full text immediately at now. If you click CrossRef Text and Data Mining Download icon, you will be able to get whole list of articles from literature included in CrossRef Text and Data Mining. |
| Choosing preferable labels for the Japanese translation of the Human Phenotype Ontology |
| Kota Ninomiya, Terue Takatsuki, Tatsuya Kushida, Yasunori Yamamoto, Soichi Ogishima |
|
Genomics Inform. 2020;18(2):e23 Published online June 18, 2020 DOI: https://doi.org/10.5808/GI.2020.18.2.e23 |
|
Choosing preferable labels for the Japanese translation of the Human Phenotype Ontology Genomics & Informatics. 2020;18(2):e23  Machine enhanced translation of the Human Phenotype Ontology project Procedia Computer Science. 2017;121:11-18 HPO2GO: prediction of human phenotype ontology term associations using cross ontology annotation co-occurrences . 2018; HPO2GO: prediction of human phenotype ontology term associations using cross ontology annotation co-occurrences . 2018; HPO2GO: prediction of human phenotype ontology term associations for proteins using cross ontology annotation co-occurrences PeerJ. 2018;6:e5298 The Human Phenotype Ontology Clinical Genetics. 2010;77(6):525-534 DiNGO: standalone application for Gene Ontology and Human Phenotype Ontology term enrichment analysis Bioinformatics. 2019; Biological and Medical Ontologies: Human Phenotype Ontology (HPO) Encyclopedia of Bioinformatics and Computational Biology. 2019;848-857 Mapping layperson medical terminology into the Human Phenotype Ontology using neural machine translation models Expert Systems with Applications. 2022;117446 PHENOstruct: Prediction of human phenotype ontology terms using heterogeneous data sources F1000Research. 2015;4:259 |
