Javier De Las Rivas

发表

iAnn: an event sharing platform for the life sciences

Ping Yu, Federico Morán, Celia W. G. van Gelder, 2013, Bioinform..

Identification of expression patterns in the progression of disease stages by integration of transcriptomic data

Javier De Las Rivas, Sara Aibar, Maria Abaigar, 2016, BMC Bioinformatics.

Javier De Las Rivas, Manuel Martín-Merino, Ángela Blanco, 2008, ICMLA.

Encompassing new use cases - level 3.0 of the HUPO-PSI format for molecular interactions

Gos Micklem, Igor Jurisica, Javier De Las Rivas, 2018, BMC Bioinformatics.

GATExplorer: Genomic and Transcriptomic Explorer; mapping expression probes to gene loci, transcripts, exons and ncRNAs

Javier De Las Rivas, Alberto Risueño, Celia Fontanillo, 2010, BMC Bioinformatics.

Functional Gene Networks: R/Bioc package to generate and analyse gene networks derived from functional enrichment and clustering

Javier De Las Rivas, Sara Aibar, Celia Fontanillo, 2013, Bioinform..

DECO: decompose heterogeneous population cohorts for patient stratification and discovery of sample biomarkers using omic data profiling

Javier De Las Rivas, Matthew W. Trotter, Remco Loos, 2019, Bioinform..

APID2NET: unified interactome graphic analyzer

Carlos Prieto, Javier De Las Rivas, Juan Hernandez-Toro, 2007, Bioinform..

Best practices in bioinformatics training for life scientists

Federico Morán, Celia W. G. van Gelder, Rafael C. Jimenez, 2013, Briefings Bioinform..

Kernel Alignment k-NN for Human Cancer Classification Using the Gene Expression Profiles

Javier De Las Rivas, Manuel Martín-Merino, M. Martín-Merino, 2009, ICANN.

Integration and Comparison of Interactome Databases

Carlos Prieto, Javier De Las Rivas, Alberto de Luis, 2004, Spanish Bioinformatics Conference.

Ten Simple Rules for Developing a Short Bioinformatics Training Course

Anna Tramontano, Michelle D. Brazas, Javier De Las Rivas, 2011, PLoS Comput. Biol..

Javier De Las Rivas, Manuel Martín-Merino, Ángela Blanco, 2007, BMC Bioinformatics.

Bioinformatics in Latin America and SoIBio impact, a tale of spin-off and expansion around genomes and protein structures

Javier De Las Rivas, César Bonavides-Martínez, Francisco J. Campos-Laborie, 2017, Briefings Bioinform..

Analysis of Cellular Proliferation and Survival Signaling by Using Two Ligand/Receptor Systems Modeled by Pathway Logic

Carolyn L. Talcott, Javier De Las Rivas, Gustavo Santos-García, 2015, HSB.

Ensemble of Kernel Based Classifiers to Improve the Human Cancer Prediction using DNA Microarrays

Javier De Las Rivas, Manuel Martín-Merino, Ángela Blanco, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

Towards an \'\'assayome\'\' for binary interactome mapping

Javier De Las Rivas, Soon Gang Choi, Luke Lambourne, 2019 .

On the Combination of Dissimilarities for Gene Expression Data Analysis

Javier De Las Rivas, Manuel Martín-Merino, Ángela Blanco, 2007, ICANN.

APID database: redefining protein–protein interaction experimental evidences and binary interactomes

Javier De Las Rivas, Miguel A. Gutiérrez, Luke Lambourne, 2019, Database J. Biol. Databases Curation.

Rewriting Logic and Symbolic Systems Biology applied to EGF Signaling Pathway

Carolyn L. Talcott, Javier De Las Rivas, Gustavo Santos-García, 2014, IWBBIO.

Bioinformatics in Latin America and SoIBio impact, a tale of spin-off and expansion around genomes and protein structures

Javier De Las Rivas, César Bonavides-Martínez, Francisco Jose Campos-Laborie, 2017, Briefings Bioinform..

Bioinformatics Training Network (BTN): a community resource for bioinformatics trainers

Celia W. G. van Gelder, Rafael C. Jimenez, Marie-Claude Blatter, 2011, Briefings Bioinform..

Role of Nerve Growth Factor Signaling in Cancer Cell Proliferation and Survival Using a Reachability Analysis Approach

Adrián Riesco, Carolyn L. Talcott, Javier De Las Rivas, 2016, PACBB.

APID: Agile Protein Interaction DataAnalyzer

Carlos Prieto, Javier De Las Rivas, C. Prieto, 2006, Nucleic Acids Res..

Combined use of gene networks and classifiers to characterize disease states

Javier De Las Rivas, Sara Aibar, Celia Fontanillo, 2010 .

A Logic Computational Framework to Query Dynamics on Complex Biological Pathways

Carolyn L. Talcott, Javier De Las Rivas, Gustavo Santos-García, 2014, PACBB.

Interactome data and databases: different types of protein interaction: Conference Reviews

Javier De Las Rivas, Alberto de Luis, 2004 .

Validation of protein-protein interactions in databases and resources: the need to identify interaction detection methods that provide binary or indirect experimental evidences

Javier De Las Rivas, Luke Lambourne, Michael A. Calderwood, 2019 .

APID interactomes: providing proteome-based interactomes with controlled quality for multiple species and derived networks

Carlos Prieto, Javier De Las Rivas, Miguel A. Gutiérrez, 2016, Nucleic Acids Res..

Ensemble of Dissimilarity Based Classifiers for Cancerous Samples Classification

Javier De Las Rivas, Manuel Martín-Merino, Ángela Blanco, 2007, PRIB.

Classification of multiple cancer types in a Hyper Reproducing Kernel Hilbert Space

Javier De Las Rivas, Manuel Martín-Merino, Ángela Blanco, 2008, 2008 8th IEEE International Conference on BioInformatics and BioEngineering.

The minimum information required for reporting a molecular interaction experiment (MIMIx)

Peter Woollard, Mark Gerstein, Gary D Bader, 2007, Nature Biotechnology.

Linear array of conserved sequence motifs to discriminate protein subfamilies: study on pyridine nucleotide-disulfide reductases

Javier De Las Rivas, César L. Avila, Viviana A. Rapisarda, 2007, BMC Bioinformatics.

JAMI: a Java library for molecular interactions and data interoperability

Javier De Las Rivas, Colin W. Combe, Juri Rappsilber, 2018, BMC Bioinformatics.

Ten simple rules for forming a scientific professional society

Lonnie R. Welch, Paul Horton, Javier De Las Rivas, 2017, PLoS Comput. Biol..

Protein–Protein Interactions Essentials: Key Concepts to Building and Analyzing Interactome Networks

Javier De Las Rivas, Celia Fontanillo, C. Fontanillo, 2010, PLoS Comput. Biol..

Improving k-NN for Human Cancer Classification Using the Gene Expression Profiles

Javier De Las Rivas, Manuel Martín-Merino, M. Martín-Merino, 2009, IDA.

Integrating literature-constrained and data-driven inference of signalling networks

Julio Saez-Rodriguez, Javier De Las Rivas, Gianna Toffolo, 2012, Bioinform..

Investigating the Assignment of Probes to Transcripts in Affymetrix Microarrays

Javier De Las Rivas, Alberto de Luis, 2004, Spanish Bioinformatics Conference.

Algorithm to find gene expression profiles of deregulation and identify families of disease-altered genes

Carlos Prieto, Javier De Las Rivas, J. M. Sánchez, 2006, Bioinform..

Interactome data and databases: different types of protein interaction

Javier De Las Rivas, Alberto de Luis, 2004 .

Bioinformatics training: a review of challenges, actions and support requirements

Marie-Claude Blatter, Thomas Blicher, Catherine Brooksbank, 2010, Briefings Bioinform..

Ensemble of Support Vector Machines to Improve the Cancer Class Prediction Based on the Gene Expression Profiles

Javier De Las Rivas, Manuel Martín-Merino, Ángela Blanco, 2008, Innovations in Hybrid Intelligent Systems.

Matrix‐Gla protein promotes osteosarcoma lung metastasis and associates with poor prognosis

Javier De Las Rivas, Agamemnon E Grigoriadis, J. Rivas, 2016, The Journal of pathology.

Systems biology APID 2 NET : unified interactome graphic analyzer

Carlos Prieto, Javier De Las Rivas, Juan Hernandez-Toro, 2007 .