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Predicting disease genes for complex diseases using random ..:
, In:
Proceedings of the 35th Annual ACM Symposium on Applied Computing
,
Madeddu, Lorenzo
;
Stilo, Giovanni
;
Velardi, Paola
- p. 458-465 , 2020
Link:
https://dl.acm.org/doi/10.1145/3341105.3373979
RT T1 <cTitle>Proceedings of the 35th Annual ACM Symposium on Applied Computing</cTitle>: T1 <Title>Predicting disease genes for complex diseases using random watcher-walker</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3373979&Exemplar=1&LAN=DE A1 Madeddu, Lorenzo A1 Stilo, Giovanni A1 Velardi, Paola PB ACM YR 2020 K1 biological K1 disease K1 neural network K1 prediction K1 protein-protein interaction K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Learning latent representations K1 Applied computing K1 Life and medical sciences K1 Bioinformatics K1 Neural networks K1 Computational biology K1 Biological networks K1 Learning paradigms K1 Supervised learning SP 458 OP 465 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3341105.3373979 DO https://dl.acm.org/doi/10.1145/3341105.3373979 SF ELIB - SuUB Bremen
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