PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
Genomics & Informatics10.5808/gi.2020.18.2.e232020182e23Choosing preferable labels for the Japanese translation of the Human Phenotype OntologyKota Ninomiya, Terue Takatsuki, Tatsuya Kushida, Yasunori Yamamoto, Soichi Ogishimahttp://genominfo.org/upload/pdf/gi-2020-18-2-e23.pdf, http://genominfo.org/journal/view.php?doi=10.5808/GI.2020.18.2.e23, http://genominfo.org/upload/pdf/gi-2020-18-2-e23.pdf
Procedia Computer Science10.1016/j.procs.2017.11.003201712111-18Machine enhanced translation of the Human Phenotype Ontology projectKrzysztof Wołk, Agnieszka Wołkhttps://api.elsevier.com/content/article/PII:S1877050917321919?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S1877050917321919?httpAccept=text/plain
10.7287/peerj.preprints.26663v12018HPO2GO: prediction of human phenotype ontology term associations using cross ontology annotation co-occurrencesTunca Doğanhttps://peerj.com/preprints/26663v1.pdf, https://peerj.com/preprints/26663v1.xml, https://peerj.com/preprints/26663v1.html, https://peerj.com/preprints/26663v1.pdf
10.7287/peerj.preprints.26663v22018HPO2GO: prediction of human phenotype ontology term associations using cross ontology annotation co-occurrencesTunca Doğanhttps://peerj.com/preprints/26663v2.pdf, https://peerj.com/preprints/26663v2.xml, https://peerj.com/preprints/26663v2.html, https://peerj.com/preprints/26663v2.pdf
PeerJ10.7717/peerj.529820186e5298HPO2GO: prediction of human phenotype ontology term associations for proteins using cross ontology annotation co-occurrencesTunca Doğanhttps://peerj.com/articles/5298.pdf, https://peerj.com/articles/5298.xml, https://peerj.com/articles/5298.html, https://peerj.com/articles/5298.pdf
Clinical Genetics10.1111/j.1399-0004.2010.01436.x2010776525-534The Human Phenotype OntologyPN Robinson, S Mundloshttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1399-0004.2010.01436.x, http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1399-0004.2010.01436.x/fullpdf
Bioinformatics10.1093/bioinformatics/btz8362019DiNGO: standalone application for Gene Ontology and Human Phenotype Ontology term enrichment analysisRadoslav Davidović, Vladimir Perovic, Branislava Gemovic, Nevena Veljkovichttp://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btz836/30490533/btz836.pdf, http://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btz836/30490533/btz836.pdf
Encyclopedia of Bioinformatics and Computational Biology10.1016/b978-0-12-809633-8.20398-12019848-857Biological and Medical Ontologies: Human Phenotype Ontology (HPO)Anna Bernasconi, Marco Masserolihttps://api.elsevier.com/content/article/PII:B9780128096338203981?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:B9780128096338203981?httpAccept=text/plain
F1000Research10.12688/f1000research.6670.120154259PHENOstruct: Prediction of human phenotype ontology terms using heterogeneous data sourcesIndika Kahanda, Christopher Funk, Karin Verspoor, Asa Ben-Hurhttps://f1000research.com/articles/4-259/v1/xml, https://f1000research.com/articles/4-259/v1/pdf, https://f1000research.com/articles/4-259/v1/iparadigms
Applied Mathematics Letters10.1016/s0893-9659(03)00068-52003165689-694Choosing a preferable strategy by the surrounding of a coalition in n-person gamesA.S Belenkyhttps://api.elsevier.com/content/article/PII:S0893965903000685?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0893965903000685?httpAccept=text/plain