A5048015801- Bioinformatics and Genomic Networks
- Speech Recognition and Synthesis
- Microbial Metabolic Engineering and Bioproduction
- Direction-of-Arrival Estimation Techniques
- Gene expression and cancer classification
- Control Systems and Identification
- Target Tracking and Data Fusion in Sensor Networks
- Phonetics and Phonology Research
- Enzyme Catalysis and Immobilization
- Indoor and Outdoor Localization Technologies
- Dysphagia Assessment and Management
- Speech and Audio Processing
- Biofuel production and bioconversion
- Voice and Speech Disorders
- Clinical Reasoning and Diagnostic Skills
- Blind Source Separation Techniques
- Railway Engineering and Dynamics
- Liver Disease Diagnosis and Treatment
- Electromagnetic Compatibility and Measurements
- Radar Systems and Signal Processing
- Surgical Simulation and Training
- Gene Regulatory Network Analysis
- Ophthalmology and Visual Health Research
- Sparse and Compressive Sensing Techniques
- Advanced Manufacturing and Logistics Optimization
Centro de Estudios e Investigaciones Técnicas de Gipuzkoa
2005-2024
Universidad de Navarra
2005-2024
Wellcome Trust
2013
European Bioinformatics Institute
2013
Leibniz Institute for Neurobiology
2010
Leibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. - Hans-Knöll-Institut (HKI)
2010
Friedrich Schiller University Jena
2009-2010
Instituto Gulbenkian de Ciência
2009-2010
Brunel University of London
2009
University of Szczecin
2002
This research analyzes some aspects of the relationship between gene expression, function, and annotation. Many recent studies are implicitly based on assumption that products biologically functionally related would maintain this similarity both in their expression profiles as well Gene Ontology (GO) We analyze how accurate proves to be using real publicly available data. also aim validate a measure semantic for GO use Pearson correlation coefficient its absolute value products. explore...
Abstract Motivation: Elementary flux modes (EFMs) represent a key concept to analyze metabolic networks from pathway-oriented perspective. In spite of considerable work in this field, the computation full set elementary large-scale still constitutes challenging issue due its underlying combinatorial complexity. Results: article, we illustrate that EFMs can be enumerated increasing order number reactions via integer linear programming. light, present novel procedure efficiently determine...
Abstract Motivation: The reconstruction of metabolic networks at the genome scale has allowed analysis pathways an unprecedented level complexity. Elementary flux modes (EFMs) are appropriate concept for such analysis. However, their number grows in a combinatorial fashion as size network increases, which renders application EFMs approach to large difficult. Novel methods expected deal with Results: In this article, we present novel optimization-based method determining minimal generating...
The analysis of high-throughput molecular data in the context metabolic pathways is essential to uncover their underlying functional structure. Among different pathway concepts systems biology, elementary flux modes (EFMs) hold a predominant place, as they naturally capture complexity and plasticity cellular metabolism go beyond predefined maps. However, use interpret has been limited so far, mainly because computation genome-scale networks unfeasible. To face this issue, optimization-based...
Abstract Summary: Genomic Analysis and Rapid Biological ANnotation (GARBAN) is a new tool that provides an integrated framework to analyze simultaneously compare multiple data sets derived from microarray or proteomic experiments. It carries out automated classifications of genes proteins according the criteria Gene Ontology Consortium at level depth defined by user. Additionally, it performs clustering analysis all based on functional categories differential expression levels. GARBAN also...
The objective quantification of voice acoustic parameters is used for the diagnosis, monitoring, and treatment disorders. Such assessments are carried out with specialised equipment within doctor’s office. controlled conditions employed usually not those real environment patient. results, although very informative, specific to measurement time when they were performed. A wearable monitoring system, based on an accelerometer ensure message, can overcome these limitations. We present a...
This paper presents the implementation and validation of a complete AoA (Angle Arrival) system. The system is typically used together with smart antenna technology. In this part mobile wireless communication positioning includes array antenna, front ends estimation block, which uses MUSIC algorithm. Furthermore, model has been developed, to find optimum configuration validated using implemented in MATLAB.
Available ETCS equipment suffered from a long process before being put into service, due to inconsistencies in the specifications and inability of laboratory certification procedures completely address all needs system testing. To overcome those problems, this paper presents novel Testing Laboratory, which will help reduction on-site testing amount, Golden Reference Model ERTMS on-board equipment, that interpretation current normative. The design, implementation, operation validation these...
This paper presents the implementation of an Angle Arrival (AoA) estimation algorithm using FPGA technology as a part Smart Train Positioning System (STPS). The STPS takes advantage combination different technologies and techniques, such GNSS AoA GSM-R signals, to determine real time train position. Furthermore, complete software system simulator has been implemented used validate in FPGA.
The current process of putting ETCS equipment in service is affected by the testing and laboratory procedures. This paper deals with two novel tools that EATS project (FP7-TRANSPORT-314219) has produced order to overcome some problems those processes show advance towards "Zero On-Site Testing" paradigm. On one hand, saboteurs for internal interfaces on-board system have been created. These integrate seamlessly rest elements allow gather evidences regarding safety functions under test. other...
We present a mathematical model for agri-food industry residual streams flow management, which serves as decision support tool optimizing their valorization. The aim is to determine, under cost-benefit analysis approach, the best strategy at global level. proposed provides optimal valorization scenario, namely set of routes followed by that maximizes total profit obtained. takes into account complete stoichiometry stream each step route. Furthermore, allows calculations different scenarios...
In this paper we present a non-parametric approach to solving the helium speech problem. Properties of are replaced by those pertaining normal means codebook mapping spectral envelopes. This method eliminates drawbacks inherent in previous procedures unscrambling as it requires neither model production nor estimation formant parameters. The only assumption is general source-filter required for linear prediction analysis. traditional transformations were computed based on assumed model. And...
Previous attempts to solving helium speech problem were oriented towards development of a production model. The aim was obtain straightforward transformations which could be applied speech, or its parametric representation, in order normal speech. However it has never been investigated if the poor quality resulting might due speaker dependance voice distortion. This paper presents non-model based approach all are automatically calculated from formant parameters and F/sub 0/ extracted...
In this paper the Pisarenko spectral estimation method for wide sense stationary (WSS) 1-dimensional (scalar) processes is extended to autoregressive (AR) multidimensional (vector) processes.