Publicaciones en las que colabora con Rodrigo Santamaría Vicente (13)

2019

  1. Evaluación de una metodología novel basada en cuadernos interactivos para el aprendizaje de la programación en Python

    Actas de las Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI), Núm. 4

  2. Genome-wide search of nucleosome patterns using visual analytics

    Bioinformatics, Vol. 35, Núm. 13, pp. 2185-2192

2017

  1. Innovación en la enseñanza de la Interacción Persona-Ordenador: interfaces imaginadas, ciencia-ficción y trabajo con usuarios reales

    La innovación docente como misión del profesorado. Actas del IV congreso internacional sobre aprendizaje, innovación y competitividad, CINAIC 2017

2014

  1. BicOverlapper 2.0: Visual analysis for gene expression

    Bioinformatics, Vol. 30, Núm. 12, pp. 1785-1786

2010

  1. Visualization of intersecting groups based on hypergraphs

    IEICE Transactions on Information and Systems

2009

  1. Tagclusters: Semantic aggregation of collaborative tags beyond tagclouds

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Treevolution: Visual analysis of phylogenetic trees

    Bioinformatics, Vol. 25, Núm. 15, pp. 1970-1971

2008

  1. A visual analytics approach for understanding biclustering results from microarray data

    BMC Bioinformatics, Vol. 9

  2. BicOverlapper: A tool for bicluster visualization

    Bioinformatics, Vol. 24, Núm. 9, pp. 1212-1213

  3. Overlapping clustered graphs: Co-authorship networks visualization

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2007

  1. A framework to analyze biclustering results on microarray experiments

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Methods to bicluster validation and comparison in microarray data

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)