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Daniele Raimondi

Showing results (1-10 of 51) with videos related to

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Bioinformatics (Oxford, England)|May 13, 2022
Fast and accurate inference of gene regulatory networks through robust precision matrix estimationAntoine Passemiers, Yves Moreau, Daniele Raimondi
Bioinformatics (Oxford, England)|December 11, 2014
Clustering-based model of cysteine co-evolution improves disulfide bond connectivity prediction and reduces homologous sequence requirementsDaniele Raimondi, Gabriele Orlando, Wim F Vranken
Nature Communications|June 9, 2019
Auto-encoding NMR chemical shifts from their native vector space to a residue-level biophysical indexGabriele Orlando, Daniele Raimondi, Wim F Vranken
Plos One|July 11, 2015
An Evolutionary View on Disulfide Bond Connectivities Prediction Using Phylogenetic Trees and a Simple Cysteine Mutation ModelDaniele Raimondi, Gabriele Orlando, Wim F Vranken
Bioinformatics (Oxford, England)|February 9, 2021
A novel method for data fusion over entity-relation graphs and its application to protein-protein interaction predictionDaniele Raimondi, Jaak Simm, Adam Arany, et al.
Nucleic Acids Research|November 18, 2021
From genotype to phenotype in Arabidopsis thaliana: in-silico genome interpretation predicts 288 phenotypes from sequencing dataDaniele Raimondi, Massimiliano Corso, Piero Fariselli, et al.
Plos Computational Biology|May 1, 2020
Insight into the protein solubility driving forces with neural attentionDaniele Raimondi, Gabriele Orlando, Piero Fariselli, et al.
Genome Biology|July 24, 2025
Explainable deep learning for stratified medicine in inflammatory bowel diseaseNora Verplaetse, Piero Fariselli, Yves Moreau, et al.
BMC Biology|January 14, 2021
Current cancer driver variant predictors learn to recognize driver genes instead of functional variantsDaniele Raimondi, Antoine Passemiers, Piero Fariselli, et al.
BMC Bioinformatics|October 16, 2025
JINet: easy and secure private data analysis for everyoneGiada Lalli, James Collier, Yves Moreau, et al.
Pageof 6

Showing results (1-10 of 51) with videos related to

Sort By:
Pageof 6
Bioinformatics (Oxford, England)|May 13, 2022
Fast and accurate inference of gene regulatory networks through robust precision matrix estimationAntoine Passemiers, Yves Moreau, Daniele Raimondi
Bioinformatics (Oxford, England)|December 11, 2014
Clustering-based model of cysteine co-evolution improves disulfide bond connectivity prediction and reduces homologous sequence requirementsDaniele Raimondi, Gabriele Orlando, Wim F Vranken
Nature Communications|June 9, 2019
Auto-encoding NMR chemical shifts from their native vector space to a residue-level biophysical indexGabriele Orlando, Daniele Raimondi, Wim F Vranken
Plos One|July 11, 2015
An Evolutionary View on Disulfide Bond Connectivities Prediction Using Phylogenetic Trees and a Simple Cysteine Mutation ModelDaniele Raimondi, Gabriele Orlando, Wim F Vranken
Bioinformatics (Oxford, England)|February 9, 2021
A novel method for data fusion over entity-relation graphs and its application to protein-protein interaction predictionDaniele Raimondi, Jaak Simm, Adam Arany, et al.
Nucleic Acids Research|November 18, 2021
From genotype to phenotype in Arabidopsis thaliana: in-silico genome interpretation predicts 288 phenotypes from sequencing dataDaniele Raimondi, Massimiliano Corso, Piero Fariselli, et al.
Plos Computational Biology|May 1, 2020
Insight into the protein solubility driving forces with neural attentionDaniele Raimondi, Gabriele Orlando, Piero Fariselli, et al.
Genome Biology|July 24, 2025
Explainable deep learning for stratified medicine in inflammatory bowel diseaseNora Verplaetse, Piero Fariselli, Yves Moreau, et al.
BMC Biology|January 14, 2021
Current cancer driver variant predictors learn to recognize driver genes instead of functional variantsDaniele Raimondi, Antoine Passemiers, Piero Fariselli, et al.
BMC Bioinformatics|October 16, 2025
JINet: easy and secure private data analysis for everyoneGiada Lalli, James Collier, Yves Moreau, et al.
Pageof 6