Javier de las Rivas Sanz-rekin lankidetzan egindako argitalpenak (14)

2023

  1. Identification of a gene expression signature associated with breast cancer survival and risk that improves clinical genomic platforms

    Bioinformatics Advances, Vol. 3, Núm. 1

2021

  1. Cancer-associated fibroblast-derived gene signatures determine prognosis in colon cancer patients

    Molecular Cancer

2018

  1. Survival marker genes of colorectal cancer derived from consistent transcriptomic profiling

    BMC Genomics, Vol. 19

2011

  1. Comparative Study of Mutual Information based Algorithms for the Inference of Gene Regulatory Networks using Transcriptomic Data

    19th. Annual International Conference on Intelligent Systems for Molecular Biology and 10th European Conference on Computational Biology. ISMB/ECCB (2011. Viena, Austria)

2009

  1. Combining dissimilarities in a hyper reproducing kernel hilbert space for complex human cancer prediction

    Journal of Biomedicine and Biotechnology, Vol. 2009

  2. Improving k-NN for human cancer classification using the gene expression profiles

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

  3. Kernel alignment k-NN for human cancer classification using the gene expression profiles

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

  4. k-NN Metric Learning for Human Cancer Classification using the Gene Expression Profiles

    13th Annual International Conference on Research in Computational Molecular Biology (RECOMB). 2009. Tucson, Arizona, USA

2008

  1. Classification of multiple cancer types in a hyper reproducing kernel hilbert space

    8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008

  2. Combining dissimilarities in a Hyper Reproducing Kernel Hilbert Space for complex human cancer prediction

    Proceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008

2007

  1. Combining dissimilarity based classifiers for cancer prediction using gene expression profiles

    BMC Bioinformatics

  2. Ensemble of dissimilarity based classifiers for cancerous samples classification

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

  3. Ensemble of kernel based classifiers to improve the human cancer prediction using DNA microarrays

    Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

  4. On the combination of dissimilarities for gene expression data analysis

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