dc.contributor.author | Gutiérrez Cárdenas, Juan Manuel | |
dc.contributor.author | Wan, Zenghui | |
dc.contributor.other | Gutiérrez Cárdenas, Juan Manuel | |
dc.date.accessioned | 2021-04-26T17:46:26Z | |
dc.date.available | 2021-04-26T17:46:26Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Gutiérrez-Cárdenas, J. & Wang, Z. (2021). One-class models for validation of miRNAs and ERBB2 gene interactions based on sequence features for breast cancer scenarios. ICT Express, https://doi.org/10.1016/j.icte.2021.03.001 | es_PE |
dc.identifier.issn | 2405-9595 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12724/12936 | |
dc.description.abstract | One challenge in miRNA–genes–diseases interaction studies is that it is challenging to find labeled data that indicate a positive or negative relationship between miRNA and genes. The use of one-class classification methods shows a promising path for validating them. We have applied two one-class classification methods, Isolation Forest and One-class SVM, to validate miRNAs interactions with the ERBB2 gene present in breast cancer scenarios using features extracted via sequence-binding. We found that the One-class SVM outperforms the Isolation Forest model, with values of sensitivity of 80.49% and a specificity of 86.49% showing results that are comparable to previous studies. Additionally, we have demonstrated that the use of features extracted from a sequence-based approach (considering miRNA and gene sequence binding characteristics) and one-class models have proven to be a feasible method for validating these genetic molecule interactions. | en_EN |
dc.format | application/html | |
dc.language.iso | eng | |
dc.publisher | Korean Institute of Communication Sciences | |
dc.relation.ispartof | urn:issn:2405-9595 | |
dc.rights | info:eu-repo/semantics/openAccess | * |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-sa/4.0/ | * |
dc.source | Repositorio Institucional Ulima | |
dc.source | Universidad de Lima | |
dc.subject | Breast cancer | en_EN |
dc.subject | Molecular genetics | en_EN |
dc.subject | Cáncer de mama | es_PE |
dc.subject | Genética molecular | es_PE |
dc.subject.classification | Pendiente | es_PE |
dc.title | One-class models for validation of miRNAs and ERBB2 gene interactions based on sequence features for breast cancer scenarios | en_EN |
dc.type | info:eu-repo/semantics/article | |
dc.type.other | Artículo en Scopus | |
ulima.areas.lineasdeinvestigacion | Calidad de vida y bienestar / Salud | es_PE |
dc.identifier.journal | ICT Express | |
dc.publisher.country | KR | |
dc.subject.ocde | https://purl.org/pe-repo/ocde/ford#2.02.04 | |
dc.identifier.doi | https://doi.org/10.1016/j.icte.2021.03.001 | |
ulima.cat | OI | |
ulima.autor.afiliacion | Gutiérrez-Cárdenas, Juan (Universidad de Lima) | |
ulima.autor.carrera | Ingeniería de Sistemas | |
dc.identifier.isni | 0000000121541816 | |
dc.identifier.scopusid | 2-s2.0-85104331563 | |