A5041627450- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Cell Image Analysis Techniques
- Genetics, Bioinformatics, and Biomedical Research
- Bayesian Modeling and Causal Inference
- Single-cell and spatial transcriptomics
- Neuroinflammation and Neurodegeneration Mechanisms
- Machine Learning in Bioinformatics
- Cardiac Arrest and Resuscitation
- COVID-19 diagnosis using AI
- RNA Research and Splicing
- Traumatic Brain Injury Research
- Metabolomics and Mass Spectrometry Studies
- COVID-19 Clinical Research Studies
- Computational Drug Discovery Methods
- Traumatic Brain Injury and Neurovascular Disturbances
- Advanced Fluorescence Microscopy Techniques
- Simulation Techniques and Applications
- Scientific Computing and Data Management
- Text and Document Classification Technologies
- MicroRNA in disease regulation
- Advanced Clustering Algorithms Research
- Advanced Proteomics Techniques and Applications
- Epilepsy research and treatment
- Fault Detection and Control Systems
Universidad de Navarra
2022-2025
BrainScope (United States)
2022-2024
Basque Center for Applied Mathematics
2021-2022
George Mason University
2015-2021
Institute for Advanced Study
2015-2018
Universidad de Granada
2015
Universidad Politécnica de Madrid
2010-2013
University of the Basque Country
2007-2009
Differences in gene expression patterns have been documented not only Multiple Sclerosis patients versus healthy controls but also the relapse of disease. Recently a new modulator has identified: microRNA or miRNA. The aim this work is to analyze possible role miRNAs multiple sclerosis, focusing on stage. We analyzed 364 PBMC obtained from sclerosis status, remission status and controls. with significantly different were validated an independent set samples. In order determine effect miRNAs,...
Abstract NeuroMorpho.Org was launched in 2006 to provide unhindered access any and all digital tracings of neuronal morphology that researchers were willing share freely upon request. Today this database is the largest public inventory cellular reconstructions neuroscience with a content over 80,000 neurons glia from representative diversity animal species, anatomical regions, experimental methods. Datasets continuously contributed by hundreds laboratories worldwide are centrally curated,...
Epilepsy surgery is effective in reducing both the number and frequency of seizures, particularly temporal lobe epilepsy (TLE). Nevertheless, a significant proportion these patients continue suffering seizures after surgery. Here we used machine learning approach to predict outcome based on supervised classification data mining taking into account not only common clinical variables, but also pathological neuropsychological evaluations. We have generated models capable predicting whether...
Functional magnetic resonance imaging (fMRI) is one of the most promising noninvasive techniques for early Alzheimer's disease (AD) diagnosis. In this paper, we explore application different machine learning to classification fMRI data purpose. The functional images were first preprocessed using statistical parametric mapping toolbox output individual maps statistically activated voxels. A fast filter was applied afterwards select voxels commonly across demented and nondemented groups. Four...
Abstract Background Malignancies arising in the large bowel cause second largest number of deaths from cancer Western World. Despite progresses made during last decades, colorectal remains one most frequent and deadly neoplasias western countries. Methods A genomic study human has been carried out on a total 31 tumoral samples, corresponding to different stages disease, 33 non-tumoral samples. The was by hybridisation tumour samples against reference pool using Agilent Human 1A 60-mer oligo...
Limb-girdle muscular dystrophy type 2A (LGMD2A) is a recessive genetic disorder caused by mutations in calpain 3 (CAPN3). Calpain plays different roles cells, but little known about its functions or vivo substrates. The aim of this study was to identify the genes showing an altered expression LGMD2A patients and possible pathways they are implicated in. Ten muscle samples from with which molecular diagnosis ascertained were investigated using array technology analyze gene profiling as...
This paper describes <b>Mateda-2.0</b>, a <b>MATLAB</b> package for estimation of distribution algorithms (EDAs). can be used to solve single and multi-objective discrete continuous optimization problems using EDAs based on undirected directed probabilistic graphical models. The implementation contains several methods commonly employed by EDAs. It is also conceived as an open allow users incorporate different combinations selection, learning, sampling, local search procedures. Additionally,...
The resurgence of COVID-19 and the rise in severe outcomes emphasize need for reliable prognostic markers to guide patient care optimize ICU hospital resources. This study investigates potential nasopharyngeal swabs identify biomarkers that predict admission or death hospitalized patients. We analyzed exudates from 95 patients 2020 using high-plex RNA quantification on NanoString® nCounter platform. Comparative analysis identified four genes, with KLRB1 (Killer cell lectin like receptor B1)...
Progress is continuously being made in the quest for stable biomarkers linked to complex diseases. Mass spectrometers are one of devices tackling this problem. The data profiles they produce noisy and unstable. In these profiles, detected as signal regions (peaks), where control disease samples behave differently. spectrometry (MS) generally contain a limited number described by high features. work, we present novel class evolutionary algorithms, estimation distribution algorithms (EDA), an...
The biomedical literature is expanding at ever-increasing rates, and it has become extremely challenging for researchers to keep abreast of new data discoveries even in their own domains expertise. We introduce PaperBot, a configurable, modular, open-source crawler automatically find efficiently index peer-reviewed publications based on periodic full-text searches across publisher web portals. PaperBot may operate stand-alone or can be easily integrated with other software platforms...
Exposure to repetitive head impacts (RHI) has been associated with long-term disturbances in cognition, mood, and neurobehavioral dysregulation, reflected neuroimaging. Distinct patterns of changes quantitative features the brain electrical activity (quantitative electroencephalogram [qEEG]) have demonstrated be sensitive seen neurodegenerative disorders traumatic injuries (TBI). While these qEEG biomarkers are highly at time injury, effects exposure RHI on relatively unexplored. Ten minutes...
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> Microarray-based global gene expression profiling, with the use of sophisticated statistical algorithms is providing new insights into pathogenesis autoimmune diseases. We have applied a novel technique for selection based on machine learning approaches to analyze microarray data gathered from patients systemic lupus erythematosus (SLE) and primary antiphospholipid syndrome (PAPS), two diseases...