Now showing items 1-15 of 15

  • Efficient combination of pairwise feature networks 

    Bellot Pujalte, Pau; Meyer, Patrick E. (2014)
    Conference lecture
    Restricted access - publisher's policy
    This paper presents a novel method for the reconstruction of a neural network connectivity using calcium fluorescence data. We introduce a fast unsupervised method to integrate different networks that reconstructs ...
  • Ensemble learning and hierarchical data representation for microarray classification 

    Bosio, Mattia; Bellot Pujalte, Pau; Salembier Clairon, Philippe Jean; Oliveras Vergés, Albert (Institute of Electrical and Electronics Engineers (IEEE), 2013)
    Conference report
    Restricted access - publisher's policy
    The microarray data classification is an open and active research field. The development of more accurate algorithms is of great interest and many of the developed techniques can be straightforwardly applied in analyzing ...
  • Examen Final 

    Bellot Pujalte, Pau; Bosio, Mattia; Hernando, J.; Casas Pla, Josep Ramon; Salembier Clairon, Philippe Jean; Monte Moreno, Enrique; Mariño Acebal, José Bernardo (Universitat Politècnica de Catalunya, 2013-06-25)
    Exam
    Restricted access to the UPC academic community
  • Feature set enhancement via hierarchical clustering for microarray classification 

    Bosio, Mattia; Bellot Pujalte, Pau; Salembier Clairon, Philippe Jean; Oliveras Vergés, Albert (2011)
    Conference report
    Restricted access - publisher's policy
    A new method for gene expression classification is proposed in this paper. In a first step, the original feature set is enriched by including new features, called metagenes, produced via hierarchical clustering. In a ...
  • Gene expression data classification combining hierarchical representation and efficient feature selection 

    Bosio, Mattia; Bellot Pujalte, Pau; Salembier Clairon, Philippe Jean; Oliveras Vergés, Albert (2012-12)
    Article
    Restricted access - publisher's policy
    A general framework for microarray data classification is proposed in this paper. It pro- duces precise and reliable classifiers through a two-step approach. At first, the original feature set is enhanced by a new set ...
  • Hierarchical clustering combining numerical and biological similarities for gene expression data classification 

    Bosio, Mattia; Salembier Clairon, Philippe Jean; Bellot Pujalte, Pau; Oliveras Vergés, Albert (Institute of Electrical and Electronics Engineers (IEEE), 2013)
    Conference report
    Restricted access - publisher's policy
    High throughput data analysis is a challenging problem due to the vast amount of available data. A major concern is to develop algorithms that provide accurate numerical predictions and biologically relevant results. A ...
  • Likely effects of climate change on groundwater availability in a Mediterranean region of Southeastern Spain 

    Moutahir, Hassane; Bellot Pujalte, Pau; Monjo, Robert; Bellot, Juan; García Ferrandez, Miguel Antonio; Touhami, Issam (2016-12-29)
    Article
    Restricted access - publisher's policy
    Groundwater resources are typically the main fresh water source in arid and semi-arid regions. Natural recharge of aquifers is mainly based on precipitation; however, only heavy precipitation events (HPEs) are expected to ...
  • Microarray classification with hierarchical data representation and novel feature selection criteria 

    Bosio, Mattia; Bellot Pujalte, Pau; Salembier Clairon, Philippe Jean; Oliveras Vergés, Albert (Institute of Electrical and Electronics Engineers (IEEE), 2012)
    Conference report
    Restricted access - publisher's policy
    Microarray data classification is a challenging prob- lem due to the high number of variables compared to the small number of available samples. An effective methodology to output a precise and reliable classifier is ...
  • Multiclass cancer-microarray classification algorithm with Pair-Against-All redundancy 

    Bosio, Mattia; Bellot Pujalte, Pau; Salembier Clairon, Philippe Jean; Oliveras Vergés, Albert (2012)
    Conference report
    Restricted access - publisher's policy
    Multiclass cancer classification is still a challenging task in the field of machine learning. A novel multiclass approach is proposed in this work as a combination of multiple binary classifiers. It is an example of Error ...
  • NetBenchmark: a bioconductor package for reproducible benchmarks of gene regulatory network inference 

    Bellot Pujalte, Pau; Olsen, Catharina; Salembier Clairon, Philippe Jean; Oliveras Vergés, Albert; Meyer, Patrick E. (2015-09-29)
    Article
    Open Access
    Background: In the last decade, a great number of methods for reconstructing gene regulatory networks from expression data have been proposed. However, very few tools and datasets allow to evaluate accurately and reproducibly ...
  • Study of digital signal processing tools to infer gene regulatory networks from microarrays 

    Bellot Pujalte, Pau (Universitat Politècnica de Catalunya, 2012-09-07)
    Master thesis
    Open Access
    [ANGLÈS] Since the mid-1990's, the field of genomic signal processing has exploded due to the development of DNA microarray technology, which made possible the measurement of mRNA expression of thousands of genes in parallel. ...
  • Study of gene expression representation with Treelets and hierarchical clustering algorithms 

    Bellot Pujalte, Pau (Universitat Politècnica de Catalunya, 2011-09-07)
    Master thesis (pre-Bologna period)
    Open Access
    English: Since the mid-1990's, the field of genomic signal processing has exploded due to the development of DNA microarray technology, which made possible the measurement of mRNA expression of thousands of genes in parallel. ...
  • Study of gene regulatory networks inference methods from gene expression data 

    Bellot Pujalte, Pau (Universitat Politècnica de Catalunya, 2017-05-08)
    Doctoral thesis
    Open Access
    A cell is a the basic structural and functional unit of every living thing, it is protein-based an that regulates itself. The cell eats to stay alive, it grows and develops; reacting to the environment, while subjected to ...
  • Study of meta-analysis strategies for network inference using information-theoretic approaches 

    Pham, Ngoc C.; Haibe-Kains, Benjamin; Bellot Pujalte, Pau; Bontempi, Gianluca; Meyer, Patrick E. (2016)
    Conference report
    Open Access
    Reverse engineering of gene regulatory networks (GRNs) from gene expression data is a classical challenge in systems biology. Thanks to high-throughput technologies, a massive amount of gene-expression data has been ...
  • Study of normalization and aggregation approaches for consensus network estimation 

    Bellot Pujalte, Pau; Salembier Clairon, Philippe Jean; Oliveras Vergés, Albert; Meyer, Patrick (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    Conference report
    Restricted access - publisher's policy
    Inferring gene regulatory networks from expression data is a very difficult problem that has raised the interest of the scientific community. Different algorithms have been proposed to try to solve this issue, but it has ...