Výpis publikací

NOVACEK, Vít. Curing Cancer with Knowledge Graphs (and other Outrageous Ideas). In Knowledge Graphs and Semantic Computing Series at University of Illinois Urbana-Champaign. 2023.

NOVACEK, Vít, Marko ŘEHÁČEK, Petr ZELINA a Jana HALÁMKOVÁ. AI for Cancer Patient Empowerment - Interim Results of the AIcope Project. 2022.

TORRENTE, María, Pedro A SOUSA, Roberto HERNÁNDEZ, Mariola BLANCO, Virginia Calvo Ana COLLAZO, Gracinda R GUERREIRO, Beatriz NÚÑEZ, Joao PIMENTAO, Juan Cristóbal SÁNCHEZ, Manuel CAMPOS, Luca COSTABELLO, Vít NOVÁČEK, Ernestina MENASALVAS, María Esther VIDAL, Mariano PROVENCIO a Virginia CALVO. An Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer Patients: Results from the Clarify Study. CANCERS. SWITZERLAND: MDPI, 2022, roč. 14, č. 16, s. 1-10. ISSN 2072-6694. Dostupné z: https://dx.doi.org/10.3390/cancers14164041.

TIMILSINA, Mohan, Vít NOVÁČEK, Mathieu DAQUIN a Haixuan YANG. Boundary heat diffusion classifier for a semi-supervised learning in a multilayer network embedding. NEURAL NETWORKS. ENGLAND: PERGAMON-ELSEVIER SCIENCE LTD, 2022, roč. 156, č. 1, s. 205-217. ISSN 0893-6080. Dostupné z: https://dx.doi.org/10.1016/j.neunet.2022.10.005.

TIMILSINA, Mohan, Dirk FEY, Adrianna JANIK, Maria TORRENTE, Mariano PROVENCIO, Alberto Cruz BERMUDEZ, Enric CARCERENY, Luca COSTABELLO, Delvys Rodrıguez ABREU, Manuel COBO, Rafael Lopez CASTRO, Reyes BERNABE, Maria GUIRADO, Pasquale MINERVINI a Vít NOVÁČEK. Integration of Medical and Genomic Information to Enhance Relapse Prediction in Early Stage Lung Cancer Patients. Online. In Proceedings of the Annual Symposium of the American Medical Informatics Association. Washington, USA: AMIA, 2022, s. 1082-1091. ISSN 1559-4076.

MOHAMED, Sameh K, Ayah NOUNU a Vít NOVÁČEK. Biological applications of knowledge graph embedding models. Briefings in Bioinformatics. Oxford (UK): Oxford University Press, 2021, roč. 22, č. 2, s. 1679-1693. ISSN 1467-5463. Dostupné z: https://dx.doi.org/10.1093/bib/bbaa012.

MOHAMED, Sameh K, Vít NOVACEK a Emir MUNOZ. On Training Knowledge Graph Embedding Models. Information. Switzerland: MDPI, 2021, roč. 12, č. 4, s. 147-165. ISSN 2078-2489. Dostupné z: https://dx.doi.org/10.3390/info12040147.

NOVÁČEK, Vít, Gavin MCGAURAN, David MATALLANAS, Adrián Vallejo BLANCO, Piero CONCA, Emir MUÑOZ, Luca COSTABELLO, Kamalesh KANAKARAJ, Zeeshan NAWAZ, Brian WALSH, Sameh K MOHAMED, Pierre-Yves VANDENBUSSCHE, Colm J RYAN, Walter KOLCH a Dirk FEY. Accurate prediction of kinase-substrate networks using knowledge graphs. PLoS Computational Biology. Cambridge: PLoS, 2020, roč. 16, č. 12, s. 1-30. ISSN 1553-734X. Dostupné z: https://dx.doi.org/10.1371/journal.pcbi.1007578.