Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Abbas Keshavarzi"'
Autor:
Mariah V. Salcedo, Nathan Gravel, Abbas Keshavarzi, Liang-Chin Huang, Krzysztof J. Kochut, Natarajan Kannan
Publikováno v:
PeerJ, Vol 11, p e15815 (2023)
The 534 protein kinases encoded in the human genome constitute a large druggable class of proteins that include both well-studied and understudied “dark” members. Accurate prediction of dark kinase functions is a major bioinformatics challenge. H
Externí odkaz:
https://doaj.org/article/f9a6f8aea0fa42169043d7129c3f323f
Publikováno v:
2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS).
Link prediction is an important task in many domains, including health sciences, biology, recommender systems, social networks, and many more. It is one of the problems residing within the intersection of knowledge graphs and machine learning. Link p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67024ca43e81fa4f77702176e47d453c
https://doi.org/10.1109/iemtronics52119.2021.9422604
https://doi.org/10.1109/iemtronics52119.2021.9422604
Autor:
Krys J. Kochut, Abbas Keshavarzi
Publikováno v:
IRI
A Knowledge Graph (KG) is a machine-readable, labeled graph-like representation of human knowledge. As the main goal of KG is to represent data by enriching it with computer-processable semantics, the knowledge graph creation usually involves acquiri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cea5b0d0b1328982b885be47c394c97
https://doi.org/10.1109/iri49571.2020.00047
https://doi.org/10.1109/iri49571.2020.00047