Daniele Raimondi

According to our database, Daniele Raimondi authored at least 17 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

How good Neural Networks interpretation methods really are? A quantitative benchmark.

Antoine Passemiers, Pietro Folco, Daniele Raimondi, Giovanni Birolo, Yves Moreau, Piero Fariselli

CoRR, 2023

2022

Editorial: Towards genome interpretation: Computational methods to model the genotype-phenotype relationship.

Daniele Raimondi, Gabriele Orlando, Nora Verplaetse, Piero Fariselli, Yves Moreau

Frontiers Bioinform., 2022

Fast and accurate inference of gene regulatory networks through robust precision matrix estimation.

Antoine Passemiers, Yves Moreau, Daniele Raimondi

Bioinform., 2022

2021

b2bTools: online predictions for protein biophysical features and their conservation.

Luciano Porto Kagami, Gabriele Orlando, Daniele Raimondi, François Ancien, Bhawna Dixit, Jose Gavaldá-García, Pathmanaban Ramasamy, Joel Roca-Martínez, Konstantina Tzavella, Wim F. Vranken

Nucleic Acids Res., 2021

A novel method for data fusion over entity-relation graphs and its application to protein-protein interaction prediction.

Daniele Raimondi, Jaak Simm, Adam Arany, Yves Moreau

Bioinform., 2021

In silico prediction of in vitro protein liquid-liquid phase separation experiments outcomes with multi-head neural attention.

Daniele Raimondi, Gabriele Orlando, Emiel Michiels, Donya Pakravan, Anna Bratek-Skicki, Ludo Van Den Bosch, Yves Moreau, Frederic Rousseau, Joost Schymkowitz

Bioinform., 2021

2020

Insight into the protein solubility driving forces with neural attention.

Daniele Raimondi, Gabriele Orlando, Piero Fariselli, Yves Moreau

PLoS Comput. Biol., 2020

ShiftCrypt: a web server to understand and biophysically align proteins through their NMR chemical shift values.

Gabriele Orlando, Daniele Raimondi, Luciano Porto Kagami, Wim F. Vranken

Nucleic Acids Res., 2020

Accurate prediction of protein beta-aggregation with generalized statistical potentials.

Gabriele Orlando, Alexandra Silva, Sandra Macedo-Ribeiro, Daniele Raimondi, Wim F. Vranken

Bioinform., 2020

On-Board Unit Big Data: Short-term Traffic Forecasting in Urban Transportation Networks.

Giovanni Buroni, Yann-Aël Le Borgne, Gianluca Bontempi, Daniele Raimondi, Karl Determe

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019

Computational identification of prion-like RNA-binding proteins that form liquid phase-separated condensates.

Gabriele Orlando, Daniele Raimondi, Francesco Tabaro, Francesco Codicè, Yves Moreau, Wim F. Vranken

Bioinform., 2019

2018

Ultra-fast global homology detection with Discrete Cosine Transform and Dynamic Time Warping.

Daniele Raimondi, Gabriele Orlando, Yves Moreau, Wim F. Vranken

Bioinform., 2018

2017

DEOGEN2: prediction and interactive visualization of single amino acid variant deleteriousness in human proteins.

Daniele Raimondi, Ibrahim Tanyalcin, Julien Ferté, Andrea M. Gazzo, Gabriele Orlando, Tom Lenaerts, Marianne Rooman, Wim F. Vranken

Nucleic Acids Res., 2017

SVM-dependent pairwise HMM: an application to protein pairwise alignments.

Gabriele Orlando, Daniele Raimondi, Taushif Khan, Tom Lenaerts, Wim F. Vranken

Bioinform., 2017

2016

Multilevel biological characterization of exomic variants at the protein level significantly improves the identification of their deleterious effects.

Daniele Raimondi, Andrea M. Gazzo, Marianne Rooman, Tom Lenaerts, Wim F. Vranken

Bioinform., 2016

2015

Clustering-based model of cysteine co-evolution improves disulfide bond connectivity prediction and reduces homologous sequence requirements.

Daniele Raimondi, Gabriele Orlando, Wim F. Vranken

Bioinform., 2015

2014

Improved Contact Predictions Using the Recognition of Protein Like Contact Patterns.

Marcin J. Skwark, Daniele Raimondi, Mirco Michel, Arne Elofsson

PLoS Comput. Biol., 2014