Complex network study of the immune epitope database for parasitic organisms
dc.creator | Vázquez-Prieto S. | |
dc.creator | Paniagua E. | |
dc.creator | Solana H. | |
dc.creator | Ubeira F.M. | |
dc.date.accessioned | 2020-09-02T22:30:31Z | |
dc.date.accessioned | 2022-11-08T20:23:32Z | |
dc.date.available | 2020-09-02T22:30:31Z | |
dc.date.available | 2022-11-08T20:23:32Z | |
dc.date.created | 2020-09-02T22:30:31Z | |
dc.date.issued | 2017 | |
dc.identifier | 17, 30, 3249-3255 | |
dc.identifier | 15680266 | |
dc.identifier | https://hdl.handle.net/20.500.12728/6620 | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/5144886 | |
dc.language | en | |
dc.publisher | Bentham Science Publishers B.V. | |
dc.subject | B-cells epitopes | |
dc.subject | Immune epitope database | |
dc.subject | Network theory | |
dc.subject | Parasitic organisms | |
dc.subject | Topological indices | |
dc.subject | Topological indices | |
dc.subject | epitope | |
dc.subject | epitope | |
dc.subject | amino acid sequence | |
dc.subject | Article | |
dc.subject | bioinformatics | |
dc.subject | comparative study | |
dc.subject | complex network approach | |
dc.subject | data analysis | |
dc.subject | data mining | |
dc.subject | factual database | |
dc.subject | information processing | |
dc.subject | mathematical analysis | |
dc.subject | nonhuman | |
dc.subject | parasite | |
dc.subject | system analysis | |
dc.subject | theoretical model | |
dc.subject | animal | |
dc.subject | artificial neural network | |
dc.subject | chemistry | |
dc.subject | immunology | |
dc.subject | parasite | |
dc.subject | Amino Acid Sequence | |
dc.subject | Animals | |
dc.subject | Data Mining | |
dc.subject | Databases, Factual | |
dc.subject | Epitopes | |
dc.subject | Neural Networks (Computer) | |
dc.subject | Parasites | |
dc.title | Complex network study of the immune epitope database for parasitic organisms | |
dc.type | Article |