Query

E.g.: Q93ZL0 27988788 (1 pair "accession PMID" per line)

Result type

CSV

JSON

HTML

Classify

UPCLASS as an API

method: POST  content-type (request): application/x-www-form-urlencoded  accept (response): application/json

url: http://goldorak.hesge.ch/bioexpclass/upclass/

parameters

• query: line with pairs accession pmid (e.g., query=Q91ZD1 23460641%0AQ8VI87 19926876)
• result_format: csv|json|html (e.g., result_format=json)

example:curl -L -X POST "http://goldorak.hesge.ch/bioexpclass/upclass/" -d "query=Q91ZD1 23460641%0AQ8VI87 19926876&result_format=json"

Publication using UPCLASS for improving precision in biomedical information retrieval

Teodoro, D., Knafou, J., Naderi, N., Pasche, E., Gobeill, J., Arighi, C.N. and Ruch, P., UPCLASS: a deep learning-based classifier for UniProtKB entry publications. Database: The Journal of Biological Databases and Curation, 2020.

Teodoro, D., Mottin, L., Gobeill, J., Arighi, C., Ruch, P. Assessing Text Embedding Models for Assigning UniProt Classes to Scientific Literature. 10th International Biocuration Conference, 2017; https://f1000research.com/slides/6-1673

Teodoro, D., Mottin, L., Gobeill, J. et al. Improving average ranking precision in user searches for biomedical research datasets. Database (2017) Vol. 2017: article ID bax083; doi:10.1093/database/bax083