Exploració per autor "Bellot Pujalte, Pau"
Ara es mostren els items 1-16 de 16
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Differential expression of long non-coding RNAs are related to proliferation and histological diversity in follicular lymphomas
(2018-01-01)
Article
Accés obertLong non-coding RNAs (lncRNAs) comprise a family of non-coding transcripts that are emerging as relevant gene expression regulators of different processes, including tumour development. To determine the possible contribution ... -
Efficient combination of pairwise feature networks
(2014)
Comunicació de congrés
Accés restringit per política de l'editorialThis 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
(Institute of Electrical and Electronics Engineers (IEEE), 2013)
Text en actes de congrés
Accés restringit per política de l'editorialThe 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
(Universitat Politècnica de Catalunya, 2013-06-25)
Examen
Accés restringit a la comunitat UPC -
Feature set enhancement via hierarchical clustering for microarray classification
(2011)
Text en actes de congrés
Accés restringit per política de l'editorialA 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
(2012-12)
Article
Accés restringit per política de l'editorialA 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
(Institute of Electrical and Electronics Engineers (IEEE), 2013)
Text en actes de congrés
Accés restringit per política de l'editorialHigh 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
(2016-12-29)
Article
Accés restringit per política de l'editorialGroundwater 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
(Institute of Electrical and Electronics Engineers (IEEE), 2012)
Text en actes de congrés
Accés restringit per política de l'editorialMicroarray 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
(2012)
Text en actes de congrés
Accés restringit per política de l'editorialMulticlass 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
(2015-09-29)
Article
Accés obertBackground: 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
(Universitat Politècnica de Catalunya, 2012-09-07)
Projecte Final de Màster Oficial
Accés obert[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
(Universitat Politècnica de Catalunya, 2011-09-07)
Projecte/Treball Final de Carrera
Accés obertEnglish: 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
(Universitat Politècnica de Catalunya, 2017-05-08)
Tesi
Accés obertA 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
(2016)
Text en actes de congrés
Accés obertReverse 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
(Institute of Electrical and Electronics Engineers (IEEE), 2015)
Text en actes de congrés
Accés restringit per política de l'editorialInferring 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 ...
