Piero Fariselli
Orcid: 0000-0003-1811-4762
According to our database1,
Piero Fariselli
authored at least 105 papers
between 1995 and 2024.
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Bibliography
2024
Proceedings of the Advances in Information Retrieval, 2024
2023
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review.
Artif. Intell. Medicine, August, 2023
Nucleic Acids Res., July, 2023
Recombulator-X: A fast and user-friendly tool for estimating X chromosome recombination rates in forensic genetics.
PLoS Comput. Biol., 2023
How good Neural Networks interpretation methods really are? A quantitative benchmark.
CoRR, 2023
Proceedings of the Advances in Information Retrieval, 2023
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023
Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023
2022
Nucleic Acids Res., 2022
Editorial: Towards genome interpretation: Computational methods to model the genotype-phenotype relationship.
Frontiers Bioinform., 2022
Development of a REDCap-based workflow for high-volume relational data analysis on real-time data in a medical department using open source software.
Comput. Methods Programs Biomed., 2022
Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset.
Briefings Bioinform., 2022
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022
Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022
2021
On the critical review of five machine learning-based algorithms for predicting protein stability changes upon mutation.
Briefings Bioinform., 2021
DNA sequence symmetries from randomness: the origin of the Chargaff's second parity rule.
Briefings Bioinform., 2021
2020
PLoS Comput. Biol., 2020
2019
Fido-SNP: the first webserver for scoring the impact of single nucleotide variants in the dog genome.
Nucleic Acids Res., 2019
DDGun: an untrained method for the prediction of protein stability changes upon single and multiple point variations.
BMC Bioinform., 2019
On the biases in predictions of protein stability changes upon variations: the INPS test case.
Bioinform., 2019
A natural upper bound to the accuracy of predicting protein stability changes upon mutations.
Bioinform., 2019
Improving the prediction of cardiovascular risk with machine-learning and DNA methylation data.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019
2018
Nucleic Acids Res., 2018
Bioinform., 2018
2017
Nucleic Acids Res., 2017
Bioinform., 2017
ISPRED4: interaction sites PREDiction in protein structures with a refining grammar model.
Bioinform., 2017
2016
INPS-MD: a web server to predict stability of protein variants from sequence and structure.
Bioinform., 2016
2015
TPpred3 detects and discriminates mitochondrial and chloroplastic targeting peptides in eukaryotic proteins.
Bioinform., 2015
AlignBucket: a tool to speed up 'all-against-all' protein sequence alignments optimizing length constraints.
Bioinform., 2015
INPS: predicting the impact of non-synonymous variations on protein stability from sequence.
Bioinform., 2015
2014
TPpred2: improving the prediction of mitochondrial targeting peptide cleavage sites by exploiting sequence motifs.
Bioinform., 2014
2013
Extended and Robust Protein Sequence Annotation over Conservative Nonhierarchical Clusters: The Case Study of the ABC Transporters.
ACM J. Emerg. Technol. Comput. Syst., 2013
Prediction of disulfide connectivity in proteins with machine-learning methods and correlated mutations.
BMC Bioinform., 2013
BMC Bioinform., 2013
BCov: a method for predicting β-sheet topology using sparse inverse covariance estimation and integer programming.
Bioinform., 2013
BETAWARE: a machine-learning tool to detect and predict transmembrane beta-barrel proteins in prokaryotes.
Bioinform., 2013
The prediction of organelle-targeting peptides in eukaryotic proteins with Grammatical-Restrained Hidden Conditional Random Fields.
Bioinform., 2013
SUS-BAR: a database of pig proteins with statistically validated structural and functional annotation.
Database J. Biol. Databases Curation, 2013
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013
Community Detection within Clusters Helps Large Scale Protein Annotation - Preliminary Results of Modularity Maximization for the BAR+ Database.
Proceedings of the BIOINFORMATICS 2013 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Barcelona, Spain, 11, 2013
2011
Is There an Optimal Substitution Matrix for Contact Prediction with Correlated Mutations?
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
BAR-PLUS: the Bologna Annotation Resource Plus for functional and structural annotation of protein sequences.
Nucleic Acids Res., 2011
Nucleic Acids Res., 2011
ASPicDB: a database of annotated transcript and protein variants generated by alternative splicing.
Nucleic Acids Res., 2011
Improving the detection of transmembrane β-barrel chains with N-to-1 extreme learning machines.
Bioinform., 2011
Improving the prediction of disulfide bonds in Eukaryotes with machine learning methods and protein subcellular localization.
Bioinform., 2011
Blurring contact maps of thousands of proteins: what we can learn by reconstructing 3D structure.
BioData Min., 2011
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2011
Disulfide Connectivity Prediction with Extreme Learning Machines.
Proceedings of the BIOINFORMATICS 2011, 2011
Proceedings of the Mathematical Approaches to Polymer Sequence Analysis and Related Problems, 2011
2010
Bioinform., 2010
Prediction of the Bonding State of Cysteine Residues in Proteins with Machine-Learning Methods.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2010
2009
Bioinform., 2009
Briefings Bioinform., 2009
Artif. Intell. Medicine, 2009
Grammatical-Restrained Hidden Conditional Random Fields for Bioinformatics applications.
Algorithms Mol. Biol., 2009
Algorithms, 2009
On the Upper Bound of the Prediction Accuracy of Residue Contacts in Proteins with Correlated Mutations: The Case Study of the Similarity Matrices.
Proceedings of the Algorithms in Bioinformatics, 9th International Workshop, 2009
Prediction of Protein-Protein Interacting Sites: How to Bridge Molecular Events to Large Scale Protein Interaction Networks.
Proceedings of the Computational Methods in Systems Biology, 7th International Conference, 2009
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2009
2008
IEEE ACM Trans. Comput. Biol. Bioinform., 2008
BMC Bioinform., 2008
FT-COMAR: fault tolerant three-dimensional structure reconstruction from protein contact maps.
Bioinform., 2008
Proceedings of the Proceedings 16th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2008
A New Protein Representation Based on Fragment Contacts: Towards an Improvement of Contact Maps Predictions.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2008
2007
A computational approach for detecting peptidases and their specific inhibitors at the genome level.
BMC Bioinform., 2007
Briefings Bioinform., 2007
Proceedings of the Algorithms in Bioinformatics, 7th International Workshop, 2007
Proceedings of the Parallel Processing and Applied Mathematics, 2007
High Throughput Protein Similarity Searches in the LIBI Grid Problem Solving Environment.
Proceedings of the Frontiers of High Performance Computing and Networking ISPA 2007 Workshops, 2007
Proceedings of the Bioinformatics Research and Development, First International Conference, 2007
2006
Nucleic Acids Res., 2006
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006
2005
I-Mutant2.0: predicting stability changes upon mutation from the protein sequence or structure.
Nucleic Acids Res., 2005
A new decoding algorithm for hidden Markov models improves the prediction of the topology of all-beta membrane proteins.
BMC Bioinform., 2005
Proceedings of the ECCB/JBI'05 Proceedings, Fourth European Conference on Computational Biology/Sixth Meeting of the Spanish Bioinformatics Network (Jornadas de BioInformática), Palacio de Congresos, Madrid, Spain, September 28, 2005
2004
ConSeq: the identification of functionally and structurally important residues in protein sequences.
Bioinform., 2004
A neural-network-based method for predicting protein stability changes upon single point mutations.
Proceedings of the Proceedings Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computational Biology 2004, 2004
2003
MaxSubSeq: an algorithm for segment-length optimization. The case study of the transmembrane spanning segments.
Bioinform., 2003
Bioinform., 2003
Briefings Bioinform., 2003
Proceedings of the Neural Nets, 14th Italian Workshop on Neural Nets, 2003
A neural network method to improve prediction of protein-protein interaction sites in heterocomplexes.
Proceedings of the NNSP 2003, 2003
An ENSEMBLE machine learning approach for the prediction of all-alpha membrane proteins.
Proceedings of the Eleventh International Conference on Intelligent Systems for Molecular Biology, June 29, 2003
2002
A sequence-profile-based HMM for predicting and discriminating beta barrel membrane proteins.
Proceedings of the Tenth International Conference on Intelligent Systems for Molecular Biology, 2002
2001
Bioinform., 2001
Improved prediction of the number of residue contacts in proteins by recurrent neural networks.
Proceedings of the Ninth International Conference on Intelligent Systems for Molecular Biology, 2001
2000
Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology, 2000
1999
A Data Base of Minimally Frustrated Alpha-Helical Segments Extracted from Proteins According to an Entropy Criterion.
Proceedings of the Seventh International Conference on Intelligent Systems for Molecular Biology, 1999
1997
The Prediction of Protein Secondary Structure with a Cascade Correlation Learning Architecture of Neural Networks.
Neural Comput. Appl., 1997
Self-Organizing Neural Maps of the Coding Sequences of G-protein-coupled Receptors Reveal Local Domains Associated with Potentially Functional Determinants in the Proteins.
Proceedings of the 5th International Conference on Intelligent Systems for Molecular Biology, 1997
Pseudodihedral Potential of Protein Residues and the Prediction of Folding.
Proceedings of the Biocomputing and emergent computation: Proceedings of BCEC97, 1997
1996
HTP: a neural network-based method for predicting the topology of helical transmembrane domains in proteins.
Comput. Appl. Biosci., 1996
Refining Neural Network Predictions for Helical Transmembrane Proteins by Dynamic Programming.
Proceedings of the Fourth International Conference on Intelligent Systems for Molecular Biology, 1996
The Identification of Locally Ordered Features an Completely unaligned Genomic Sequences by using an Unsupervised Neural Classifier.
Proceedings of the German Conference on Bioinformatics, 1996
1995
LGANN: a parallel system combining a local genetic algorithm and neural networks for the prediction of secondary structure of proteins.
Comput. Appl. Biosci., 1995
Predicting Free Energy Contribution to the Conformational Stability of Folded Proteins From the Residue Sequence with Radial Basis Function Networks.
Proceedings of the Third International Conference on Intelligent Systems for Molecular Biology, 1995