Francisco M. Ortuño Guzman

Orcid: 0000-0001-7424-1753

Affiliations:
  • University of Granada, Spain


According to our database1, Francisco M. Ortuño Guzman authored at least 26 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Deep Learning-Based Breast Cancer Subtype Classification from Whole-Slide Images: Leveraging the BRACS Dataset.
Proceedings of the Bioinformatics and Biomedical Engineering, 2024

2023
Novel Gene Signature for Bladder Cancer Stage Identification.
Proceedings of the Bioinformatics and Biomedical Engineering, 2023

Uterine Cervix and Corpus Cancers Characterization Through Gene Expression Analysis Using the KnowSeq Tool.
Proceedings of the Bioinformatics and Biomedical Engineering, 2023

2021
A versatile workflow to integrate RNA-seq genomic and transcriptomic data into mechanistic models of signaling pathways.
PLoS Comput. Biol., 2021

CSVS, a crowdsourcing database of the Spanish population genetic variability.
Nucleic Acids Res., 2021

KnowSeq R-Bioc package: The automatic smart gene expression tool for retrieving relevant biological knowledge.
Comput. Biol. Medicine, 2021

2020
Towards Improving Skin Cancer Diagnosis by Integrating Microarray and RNA-Seq Datasets.
IEEE J. Biomed. Health Informatics, 2020

2015
Comparing different machine learning and mathematical regression models to evaluate multiple sequence alignments.
Neurocomputing, 2015

Integrative gene expression analysis of lung cancer based on a technology-merging approach.
Proceedings of the IEEE EUROCON 2015, 2015

2014
Case Report: "ADHD Trainer": the mobile application that enhances cognitive skills in ADHD patients.
F1000Research, 2014

Development of Soft-Computing techniques capable of diagnosing Alzheimers Disease in its pre-clinical stage combining MRI and FDG-PET images.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

Advances in bioinformatics using soft-computing paradigms.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

Creation of a Database Including a Set of Biological Features Related to Protein Sequences and Their Corresponding Alignment.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

2013
An effective, practical and low computational cost framework for the integration of heterogeneous data to predict functional associations between proteins by means of Artificial Neural Networks.
Neurocomputing, 2013

Using cited references to improve the retrieval of related biomedical documents.
BMC Bioinform., 2013

Optimizing multiple sequence alignments using a genetic algorithm based on three objectives: structural information, non-gaps percentage and totally conserved columns.
Bioinform., 2013

Intelligent Systems to Autonomously Classify Several Arrhythmia Using Information from ECG.
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013

Optimal Knots Allocation in Smoothing Splines using intelligent system. Application in bio-medical signal processing. .
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013

Using intelligent system for medical decision-making to magnetic resonance imaging.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013

Determining the most suitable multiple sequence alignment methodology by using a set of heterogeneous biological features.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013

Evaluating Multiple Sequence Alignments Using a LS-SVM Approach with a Heterogeneous Set of Biological Features.
Proceedings of the Advances in Computational Intelligence, 2013

Comparison of different computational intelligent classifier to autonomously detect cardiac pathologies diagnosed by ECG.
Proceedings of the 13th International Conference on Intellient Systems Design and Applications, 2013

2012
Optimization of multiple sequence alignment methodologies using a multiobjective evolutionary algorithm based on NSGA-II.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Using Machine Learning Techniques and Genomic/Proteomic Information from Known Databases for PPI Prediction.
Proceedings of the 5th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2011

Emerging Methodologies in Multiple Sequence Alignment Using High Throughput Data.
Proceedings of the 5th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2011

Prediction of Functional Associations between Proteins by Means of a Cost-Sensitive Artificial Neural Network.
Proceedings of the Advances in Computational Intelligence, 2011


  Loading...