Publications by authors named "Ignacio Ponzoni"

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Papillary Thyroid Carcinoma: A thorough Bioinformatic Analysis of Gene Expression and Clinical Data.
Iván Petrini, Rocío L Cecchini, Marilina Mascaró, Ignacio Ponzoni, Jessica A Carballido

Genes (Basel)· June 2023

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Design of New Dispersants Using Machine Learning and Visual Analytics.
María Jimena Martínez, Roi Naveiro, Axel J Soto, Pablo Talavante, Shin-Ho Kim Lee, Ignacio Ponzoni

Polymers (Basel)· March 2023

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Multitask Deep Neural Networks for Ames Mutagenicity Prediction.
María Jimena Martínez, María Virginia Sabando, Axel J Soto, Carlos Roca, Carlos Requena-Triguero, Ignacio Ponzoni

J Chem Inf Model· December 2022

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Polymer informatics for QSPR prediction of tensile mechanical properties. Case study: Strength at break.
Fiorella Cravero, Mónica F Díaz, Ignacio Ponzoni

J Chem Phys· May 2022

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Using molecular embeddings in QSAR modeling: does it make a difference?
María Virginia Sabando, Ignacio Ponzoni, Evangelos E Milios, Axel J Soto

Brief Bioinform· January 2022

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ChemVA: Interactive Visual Analysis of Chemical Compound Similarity in Virtual Screening.
Maria Virginia Sabando, Pavol Ulbrich, Matias Selzer, Jan Byska, Jan Mican, Ignacio Ponzoni

IEEE Trans Vis Comput Graph· February 2021

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Feature Selection for Polymer Informatics: Evaluating Scalability and Robustness of the FS4RV Algorithm Using Synthetic Polydisperse Data Sets.
Fiorella Cravero, Santiago A Schustik, M Jimena Martínez, Gustavo E Vázquez, Mónica F Díaz, Ignacio Ponzoni

J Chem Inf Model· February 2020

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Development and use of a Cytoscape app for GRNCOP2.
Juan J Díaz-Montaña, Norberto Díaz-Díaz, Carlos D Barranco, Ignacio Ponzoni

Comput Methods Programs Biomed· August 2019

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MoDeSuS: A Machine Learning Tool for Selection of Molecular Descriptors in QSAR Studies Applied to Molecular Informatics.
María Jimena Martínez, Marina Razuc, Ignacio Ponzoni

Biomed Res Int· July 2019

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QSAR Classification Models for Predicting the Activity of Inhibitors of Beta-Secretase (BACE1) Associated with Alzheimer's Disease.
Ignacio Ponzoni, Víctor Sebastián-Pérez, María J Martínez, Carlos Roca, Carlos De la Cruz Pérez

Sci Rep· June 2019

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QSAR Modelling to Identify LRRK2 Inhibitors for Parkinson's Disease.
Víctor Sebastián-Pérez, María Jimena Martínez, Carmen Gil, Nuria Eugenia Campillo, Ana Martínez, Ignacio Ponzoni

J Integr Bioinform· February 2019

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Hybridizing Feature Selection and Feature Learning Approaches in QSAR Modeling for Drug Discovery.
Ignacio Ponzoni, Víctor Sebastián-Pérez, Carlos Requena-Triguero, Carlos Roca, María J Martínez

Sci Rep· May 2017

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Crosstalk pathway inference using topological information and biclustering of gene expression data.
Julieta S Dussaut, Cristian A Gallo, Rocío L Cecchini, Jessica A Carballido, Ignacio Ponzoni

Biosystems· December 2016

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Feature Learning applied to the Estimation of Tensile Strength at Break in Polymeric Material Design.
Fiorella Cravero, María Jimena Martínez, Gustavo Esteban Vazquez, Mónica Fátima Díaz, Ignacio Ponzoni

J Integr Bioinform· November 2016

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A Bioinformatics Approach for Detecting Repetitive Nested Motifs using Pattern Matching.
José R Romero, Jessica A Carballido, Ingrid Garbus, Viviana C Echenique, Ignacio Ponzoni

Evol Bioinform Online· October 2016

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Discretization of gene expression data revised.
Cristian A Gallo, Rocio L Cecchini, Jessica A Carballido, Sandra Micheletto, Ignacio Ponzoni

Brief Bioinform· September 2016

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Visual analytics in cheminformatics: user-supervised descriptor selection for QSAR methods.
María Jimena Martínez, Ignacio Ponzoni, Mónica F Díaz, Gustavo E Vazquez, Axel J Soto

J Cheminform· August 2015

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Pathway network inference from gene expression data.
Ignacio Ponzoni, María Nueda, Sonia Tarazona, Stefan Götz, David Montaner

BMC Syst Biol· March 2015

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QSPR models for predicting log P(liver) values for volatile organic compounds combining statistical methods and domain knowledge.
Damián Palomba, María J Martínez, Ignacio Ponzoni, Mónica F Díaz, Gustavo E Vazquez

Molecules· December 2012

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Target-Driven Subspace Mapping Methods and Their Applicability Domain Estimation.
Axel J Soto, Gustavo E Vazquez, Marc Strickert, Ignacio Ponzoni

Mol Inform· September 2011

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Discovering time-lagged rules from microarray data using gene profile classifiers.
Cristian A Gallo, Jessica A Carballido, Ignacio Ponzoni

BMC Bioinformatics· April 2011

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Inferring adaptive regulation thresholds and association rules from gene expression data through combinatorial optimization learning.
Ignacio Ponzoni, Francisco Azuaje, Juan Augusto, David Glass

IEEE/ACM Trans Comput Biol Bioinform· January 2008

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