Ivan Teixidó

Ivan Teixidó
University of Lleida | UDL · Department of Computer and Industrial Engineerings

Computer Science

About

35
Publications
12,745
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378
Citations

Publications

Publications (35)
Article
Full-text available
In this paper we investigate, analyze and compare sentimental analysis methodologies in Catalan tweets. The main goal is to develop a high-performance Catalan classifier. There are three main steps: Catalan language preprocessing tool, classification model and corpus training. The preprocessing tool is used for cleaning and extracting features from...
Article
EasyModel is a new user-friendly web application that contains ready-for-simulation versions of the BioModels Database, and allows for the intuitive creation of new models. Its main target audience is the experimental biologist and students of bioinformatics or systems biology without programming skills. Expert users can also benefit from it by imp...
Article
Full-text available
Cloud systems are becoming a powerful tool for business. The evidence of the advantages of offering infrastructure, hardware or software as a service (IaaS, PaaS, SaaS) is overwhelming. Therefore, for SaaS providers, it is essential to know the virtual resources required to optimise the service offered and keep the quality of service (QoS) at the d...
Article
MetReS (Metabolic Reconstruction Server) is a genomic database that is shared between two software applications that address important biological problems. Biblio-MetReS is a data-mining tool that enables the reconstruction of molecular networks based on automated text-mining analysis of published scientific literature. Homol-MetReS allows function...
Article
Full-text available
There are different phenotypes of obstructive sleep apnoea (OSA), many of which have not been characterised. Identification of these different phenotypes is important in defining prognosis and guiding the therapeutic strategy. The aim of this study was to characterise the entire population of continuous positive airway pressure (CPAP)-treated patie...
Article
The initial diagnosis of rare diseases is difficult because they are infrequent and doctors do not often see or recognize their symptoms. Developing tools to assist in this diagnosis would provide a way to facilitate medical practice in this area. The broader goal of this project is to develop such a tool, which we name Rare Disease Discovery, RDD...
Article
Full-text available
Introduction. Most documented rare diseases have genetic origin. Because of their low individual frequency, an initial diagnosis based on phenotypic symptoms is not always easy, as practitioners might never have been exposed to patients suffering from the relevant disease. It is thus important to develop tools that facilitate symptom-based initial...
Data
Supporting Appendix S1. Additional Methods and Results for Efficient Computer-Assisted Diagnosis of Rare Diseases Using Rare Disease Discovery
Presentation
In biomedical sciences, the problem of modelling an outcome, in the ” small data ” context, is usually solved by providing one single model, associated with an acceptable goodness of fit. This is accomplished by using a set of predictors and a given modelling strategy. Thus, the same functional relationship is assumed between the predictors and the...
Conference Paper
Full-text available
In biomedical sciences, the problem of modelling an outcome, in the " small data " context, is usually solved by providing one single model, associated with an acceptable goodness of fit. This is accomplished by using a set of predictors and a given modelling strategy. Thus, the same functional relationship is assumed between the predictors and the...
Article
When designing a cloud infrastructure, it is critical to ensure beforehand that the system will be able to offer the desired level of QoS (Quality of Service). Our attention is focused here on efficient QoS accessing to a biological database in cloud computing systems. Our group developed two software applications that address important biological...
Conference Paper
Full-text available
Cloud computing is a new paradigm that offers several advantages in terms of scalability, maintainability, high availability, efficiency and data processing. Infrastructure and applications are moved to the cloud and provided as a pay-for-use service. When designing a cloud infrastructure, it is critical to assure beforehand that the system will be...
Article
Full-text available
This paper presents a power-aware scheduling policy algorithm of Virtual Machines into nodes called Green Cloud (GreenC) for Heterogeneous cloud systems. GreenC takes into account optimal assignments according to physical and virtual machine heterogeneity, the current host workload and communication between the different virtual machines. An initia...
Article
Full-text available
Hypertension or high blood pressure is a condition on the rise. Not only does it affect the elderly but it is also increasingly spreading to younger sectors of the population. Treating it involves exhaustive monitoring of patients. Current health services can be improved to perform this task more effectively. A tool adapted to the particular requir...
Article
Full-text available
Our group developed two biological applications, Biblio-MetReS and Homol-MetReS, accessing the same database of organisms with annotated genes. Biblio-MetReS is a data-mining application that facilitates the reconstruction of molecular networks based on automated text-mining analysis of published scientific literature. Homol-MetReS allows functiona...
Conference Paper
Full-text available
This paper presents a power-aware scheduling policy algorithm called Green Preserving SLA (GPSLA) for cloud computing systems with high workload variability. GPSLA aims to guarantee the SLA (Service-Level Agreement) by minimizing the system response time and, at the same time, tries to reduce the energy consumption. We present a formal solution, ba...
Conference Paper
Full-text available
This paper presents a power-aware scheduling policy algorithm called Green Cloud (GreenC) for Heterogeneous cloud systems. As required by most cloud systems, GreenC must guarantee a SLA (Service-Level Agreement). Usually, the SLA is associated with a certain level of QoS (Quality of Service). As response time is perhaps the most widely used QoS met...
Article
Full-text available
The ability to deliver guaranteed QoS (Quality of Service) is crucial for the commercial success of cloud platforms. This paper presents a model based on queuing theory to study computer service QoS in cloud computing. Cloud platforms are modeled with an open Jackson network that can be used to determine and measure the QoS guarantees the cloud can...
Article
In recent years, several lightweight cryptographic protocols whose security lies in the assumed intractability of the learning parity with noise (LPN) problem have been proposed. The LPN problem has been shown to be solvable in subexponential time by algorithms that have very large (subexponential) memory requirements, which limits their practical...
Conference Paper
Full-text available
This paper deals with guaranteeing the SLA (Service-Level Agreement) on a cloud. We present an SLA scheduling algorithm named SLA&Power Aware that also takes power consumption into account. The proposal also offers insight into the scalability problem in cloud-based systems when changing the computing requirements, in other words, when there is a h...
Article
Full-text available
Unlabelled: One way to initiate the reconstruction of molecular circuits is by using automated text-mining techniques. Developing more efficient methods for such reconstruction is a topic of active research, and those methods are typically included by bioinformaticians in pipelines used to mine and curate large literature datasets. Nevertheless, e...
Preprint
Full-text available
One way to initiate the reconstruction of molecular circuits is by using automated text-mining techniques. Developing more efficient methods for such reconstruction is a topic of active research, and those methods are typically included by bioinformaticians in pipelines used to mine and curate large literature datasets. Nevertheless, experimental b...
Preprint
One way to initiate the reconstruction of molecular circuits is by using automated text-mining techniques. Developing more efficient methods for such reconstruction is a topic of active research, and those methods are typically included by bioinformaticians in pipelines used to mine and curate large literature datasets. Nevertheless, experimental b...
Conference Paper
Full-text available
This paper focuses on the scalability problem in cloud-based systems when changing the computing requirements, this is, when there is a high degree of requesting service variability in cloud-computing environments. We study a specific scenario for web-based application deployed in a cloud system, where the number of requests can change with time. T...
Conference Paper
Biblio-MetReS is a single-thread data mining application that facilitates the reconstruction of molecular networks based on automated text mining analysis of published scientific literature. This application is very CPU-intensive, requiring High Performace Computing (HPC). Due to the amount of execution tasks, it can be quite slow. Those tasks are...
Data
Supplementary Figure 3. Representation of the number of additional genes that are found by Biblio-MetReS as we add more data sources to Medline. Each panel shows three numbers in each square. The first number represents the number of genes found for glycolysis. The second number shows the number of genes found for lysine metabolism. The third numbe...
Data
Full-text available
Supplementary Table 1. Benchmarking of the application.
Data
Supplementary Figure 1. Representation of the number of common genes found for the different pathways in Saccharomyces cerevisiae(1), Escherichia coli(2), and Drosophila melanogaster(3) using Biblio-MetReS, iHOP and STRING. A - Glycolysis, B - Lysine metabolism, C - RNA degradation.
Data
Supplementary Figure 2. Representation of the number of common genes found for the different pathways in Saccharomyces cerevisiae(1), Escherichia coli(2), and Drosophila melanogaster(3) using Biblio-MetReS, iHOP and STRING.A - Glycolysis, genes known to be in the pathway, B - Lysine metabolism, genes known to be in the pathway, C - RNA degradation,...
Data
Supplementary Figure 4. Representation of the number of additional genes found by Biblio-MetReS that are known to belong to the canonical pathways under analysis as we add more data sources to Medline. Each panel shows three numbers in each square. The first number represents the number of genes found for glycolysis. The second number shows the num...
Article
Full-text available
Reconstruction of genes and/or protein networks from automated analysis of the literature is one of the current targets of text mining in biomedical research. Some user-friendly tools already perform this analysis on precompiled databases of abstracts of scientific papers. Other tools allow expert users to elaborate and analyze the full content of...
Article
El projecte M-CISNE es presenta con una eina de planificació per entorns multiclúster no dedicats i heterogenis, amb una aquitectura jeràrquica de dos nivells. En aquest treball es vol dotar a aquest sistema d'una plataforma client/servidor que permeti la comunicació remota entre els dos subsitemes a través de la xarxa i d'una eina que gestioni els...

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