Now showing items 1-8 of 8

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      dbcsp: User-friendly R package for Distance-Based Common Spatial Patterns 

      Rodríguez Moreno, Itsaso; Irigoyen Garbizu, Itziar; Sierra Araujo, Basilio ORCID; Arenas Solá, Concepción (The R Foundation, 2022-12-20)
      Common Spatial Patterns (CSP) is a widely used method to analyse electroencephalography (EEG) data, concerning the supervised classification of the activity of brain. More generally, it can be useful to distinguish between ...
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      Estatistika metodoak distantzietan oinarrituriko ikuspegitik 

      Irigoyen Garbizu, Itziar; Arenas Solá, Concepción; Ferreiro, Susana; Sierra Araujo, Basilio ORCID (Servicio Editorial de la Universidad del País Vasco/Euskal Herriko Unibertsitatearen Argitalpen Zerbitzua, 2014)
      Lan honetan analisi anizkoitzaren baitan biltzen diren distantzietan oinarrituriko hainbat metodoren berrikusketa egin da. Oinarrizko kontzeptuak aurkeztu dira lehenik, ondoren metodoen funtsa laburki azaldu ahal izateko. ...
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      Fuzzy classification with distance-based depth prototypes: High-dimensional unsupervised and/or supervised problems 

      Irigoyen Garbizu, Itziar; Ferreiro, Susana; Sierra Araujo, Basilio ORCID; Arenas Solá, Concepción (Elsevier, 2023-11)
      Supervised and unsupervised classification is crucial in many areas where different types of data sets are common, such as biology, medicine, or industry, among others. A key consideration is that some units are more typical ...
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      ICGE: an R package for detecting relevant clusters and atypical units in gene expression 

      Irigoyen Garbizu, Itziar; Sierra Araujo, Basilio ORCID; Arenas Solá, Concepción (BioMed Central, 2012-02)
      Background: Gene expression technologies have opened up new ways to diagnose and treat cancer and other diseases. Clustering algorithms are a useful approach with which to analyze genome expression data. They attempt to ...
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      Identification of differentially expressed genes by means of outlier detection 

      Irigoyen Garbizu, Itziar; Arenas Solá, Concepción (Biomed Central, 2018-09-10)
      Background: An important issue in microarray data is to select, from thousands of genes, a small number of informative differentially expressed (DE) genes which may be key elements for a disease. If each gene is analyzed ...
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      New Distance-Based approach for Genome-Wide Association Studies 

      Irigoyen Garbizu, Itziar; Cormand, Bru; Soler Artigas, María; Sánchez Mora, Cristina; Ramos Quiroga, Josep Antoni; Arenas Solá, Concepción (IEEE Institute of Electrical and Electronics Engineers Inc., 2022-09-01)
      With the rise of genome-wide association studies (GWAS), the analysis of typical GWAS data sets with thousands of single-nucleotide polymorphisms (SNPs) has become crucial in biomedicine research. Here, we propose a new ...
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      ORdensity: user-friendly R package to identify differentially expressed genes 

      Martínez Otzeta, José María; Irigoyen Garbizu, Itziar; Sierra Araujo, Basilio ORCID; Arenas Solá, Concepción (BCM, 2020-04-07)
      Background Microarray technology provides the expression level of many genes. Nowadays, an important issue is to select a small number of informative differentially expressed genes that provide biological knowledge and may ...
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      Towards Application of One-Class Classification Methods to Medical Data 

      Irigoyen Garbizu, Itziar; Sierra Araujo, Basilio ORCID; Arenas Solá, Concepción (Hindawi Publishing, 2014)
      In the problem of one-class classification (OCC) one of the classes, the target class, has to be distinguished from all other possible objects, considered as nontargets. In many biomedical problems this situation arises, ...