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Daniele Raimondi
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2020 – today
- 2024
- [i2]Giada Lalli, James Collier, Yves Moreau, Daniele Raimondi:
JINet: easy and secure private data analysis for everyone. CoRR abs/2408.16402 (2024) - 2023
- [i1]Antoine Passemiers, Pietro Folco, Daniele Raimondi, Giovanni Birolo, Yves Moreau, Piero Fariselli:
How good Neural Networks interpretation methods really are? A quantitative benchmark. CoRR abs/2304.02383 (2023) - 2022
- [j15]Antoine Passemiers, Yves Moreau, Daniele Raimondi:
Fast and accurate inference of gene regulatory networks through robust precision matrix estimation. Bioinform. 38(10): 2802-2809 (2022) - [j14]Daniele Raimondi, Gabriele Orlando, Nora Verplaetse, Piero Fariselli, Yves Moreau:
Editorial: Towards genome interpretation: Computational methods to model the genotype-phenotype relationship. Frontiers Bioinform. 2 (2022) - 2021
- [j13]Daniele Raimondi, Jaak Simm, Adam Arany, Yves Moreau:
A novel method for data fusion over entity-relation graphs and its application to protein-protein interaction prediction. Bioinform. 37(16): 2275-2281 (2021) - [j12]Daniele Raimondi, Gabriele Orlando, Emiel Michiels, Donya Pakravan, Anna Bratek-Skicki, Ludo Van Den Bosch, Yves Moreau, Frederic Rousseau, Joost Schymkowitz:
In silico prediction of in vitro protein liquid-liquid phase separation experiments outcomes with multi-head neural attention. Bioinform. 37(20): 3473-3479 (2021) - [j11]Luciano Porto Kagami, Gabriele Orlando, Daniele Raimondi, François Ancien, Bhawna Dixit, Jose Gavaldá-García, Pathmanaban Ramasamy, Joel Roca-Martínez, Konstantina Tzavella, Wim F. Vranken:
b2bTools: online predictions for protein biophysical features and their conservation. Nucleic Acids Res. 49(Webserver-Issue): 52-59 (2021) - 2020
- [j10]Gabriele Orlando, Alexandra Silva, Sandra Macedo-Ribeiro, Daniele Raimondi, Wim F. Vranken:
Accurate prediction of protein beta-aggregation with generalized statistical potentials. Bioinform. 36(7): 2076-2081 (2020) - [j9]Gabriele Orlando, Daniele Raimondi, Luciano Porto Kagami, Wim F. Vranken:
ShiftCrypt: a web server to understand and biophysically align proteins through their NMR chemical shift values. Nucleic Acids Res. 48(Webserver-Issue): W36-W40 (2020) - [j8]Daniele Raimondi, Gabriele Orlando, Piero Fariselli, Yves Moreau:
Insight into the protein solubility driving forces with neural attention. PLoS Comput. Biol. 16(4) (2020) - [c1]Giovanni Buroni, Yann-Aël Le Borgne, Gianluca Bontempi, Daniele Raimondi, Karl Determe:
On-Board Unit Big Data: Short-term Traffic Forecasting in Urban Transportation Networks. DSAA 2020: 569-578
2010 – 2019
- 2019
- [j7]Gabriele Orlando, Daniele Raimondi, Francesco Tabaro, Francesco Codicè, Yves Moreau, Wim F. Vranken:
Computational identification of prion-like RNA-binding proteins that form liquid phase-separated condensates. Bioinform. 35(22): 4617-4623 (2019) - 2018
- [j6]Daniele Raimondi, Gabriele Orlando, Yves Moreau, Wim F. Vranken:
Ultra-fast global homology detection with Discrete Cosine Transform and Dynamic Time Warping. Bioinform. 34(18): 3118-3125 (2018) - 2017
- [j5]Gabriele Orlando, Daniele Raimondi, Taushif Khan, Tom Lenaerts, Wim F. Vranken:
SVM-dependent pairwise HMM: an application to protein pairwise alignments. Bioinform. 33(24): 3902-3908 (2017) - [j4]Daniele Raimondi, Ibrahim Tanyalcin, Julien Ferté, Andrea M. Gazzo, Gabriele Orlando, Tom Lenaerts, Marianne Rooman, Wim F. Vranken:
DEOGEN2: prediction and interactive visualization of single amino acid variant deleteriousness in human proteins. Nucleic Acids Res. 45(Webserver-Issue): W201-W206 (2017) - 2016
- [j3]Daniele Raimondi, Andrea M. Gazzo, Marianne Rooman, Tom Lenaerts, Wim F. Vranken:
Multilevel biological characterization of exomic variants at the protein level significantly improves the identification of their deleterious effects. Bioinform. 32(12): 1797-1804 (2016) - 2015
- [j2]Daniele Raimondi, Gabriele Orlando, Wim F. Vranken:
Clustering-based model of cysteine co-evolution improves disulfide bond connectivity prediction and reduces homologous sequence requirements. Bioinform. 31(8): 1219-1225 (2015) - 2014
- [j1]Marcin J. Skwark, Daniele Raimondi, Mirco Michel, Arne Elofsson:
Improved Contact Predictions Using the Recognition of Protein Like Contact Patterns. PLoS Comput. Biol. 10(11) (2014)
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