Walking RDF and OWL Neuro-Symbolic AI Ontology engineering Applied Ontology Original feature-learning method over RDF graphs and OWL ontologies via biased random walks; the seed implementation for many later embedding methods including OWL2Vec*. Get it GitHub: https://github.com/bio-ontology-research-group/walking-rdf-and-owl ★ 47 Developed in projects Bio2Vec: Smart analytics infrastructure for the life sciences Category: Ontology Embedding & Machine Learning
What is the right sequencing approach? Solo VS extended family analysis in consanguineous populations genomics Rare disease Year: 2020 Venue: BMC Medical Genomics Authors: Ahmed Alfares, Lamia Alsubaie, Taghrid Aloraini, Aljoharah Alaskar, Azza Althagafi, Ahmed Alahmad, Mamoon Rashid, Abdulrahman Alswaid, Ali Alothaim, Wafaa Eyaid, Faroug Ababneh, Mohammed Albalwi, Raniah Alotaibi, Mashael Almutairi, Nouf Altharawi, Alhanouf Alsamer, Marwa Abdelhakim, Senay Kafkas, Katsuhiko Mineta, Nicole Cheung, Abdallah M. Abdallah, Stine B\"uchmann-M\oller, Yoshinori Fukasawa, Xiang Zhao, Issaac Rajan, Robert Hoehndorf, Fuad Al Mutairi, Takashi Gojobori, Majid Alfadhel DOI: 10.1186/s12920-020-00743-8 Abstract There was no
Whole genome transcriptomic profiling reveals distinct sex-specific responses to heat stroke genomics bioengineering Year: 2025 Venue: Journal of Applied Physiology Authors: Abderrezak Bouchama, Maria Gomez, Mashan L. Abdullah, Saeed Al Mahri, Shuja Shafi Malik, Saber Yezli, Sameer Mohammad, Cynthia Lehe, Bisher Abuyassin, Robert Hoehndorf DOI: 10.1152/japplphysiol.00001.2025 Abstract Heat-related mortality remains health challenges exacerbated by climate change, with sex-based differences in outcomes, yet underlying mechanisms remain poorly understood. This study examined transcriptomic responses to heat exposure in peripheral blood mononuclear cells from 19 patients with heat stroke (HS; 8 males, mean age
