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Computational tools for prioritizing candidate genes: boosting disease gene discovery

Nature reviews. Genetics, 2012-08, Vol.13 (8), p.523

2012

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GRNBoost2 and Arboreto: efficient and scalable inference of gene regulatory networks

Bioinformatics (Oxford, England), 2019-06, Vol.35 (12), p.2159-2161

2019

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Large sample size and nonlinear sparse models outline epistatic effects in inflammatory bowel disease

Genome Biology, 2023-10, Vol.24 (1), p.224-224, Article 224

2023

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From hype to reality: data science enabling personalized medicine

BMC medicine, 2018-08, Vol.16 (1), p.150-150, Article 150

2018

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Current cancer driver variant predictors learn to recognize driver genes instead of functional variants

BMC biology, 2021-01, Vol.19 (1), p.3-12, Article 3

2021

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Repurposing High-Throughput Image Assays Enables Biological Activity Prediction for Drug Discovery

Cell chemical biology, 2018-05, Vol.25 (5), p.611-618.e3

2018

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Insight into the protein solubility driving forces with neural attention

PLoS computational biology, 2020-04, Vol.16 (4), p.e1007722

2020

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DECIPHER : Database of Chromosomal Imbalance and Phenotype in Humans Using Ensembl Resources

American journal of human genetics, 2009-04, Vol.84 (4), p.524-533

2009

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Towards practical privacy-preserving genome-wide association study

BMC bioinformatics, 2018-12, Vol.19 (1), p.537-537, Article 537

2018

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PyUUL provides an interface between biological structures and deep learning algorithms

Nature communications, 2022-02, Vol.13 (1), p.961-961, Article 961

2022

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Chromosome instability is common in human cleavage-stage embryos

Nature medicine, 2009-05, Vol.15 (5), p.577-583

2009

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Crack down on genomic surveillance

Nature (London), 2019-12, Vol.576 (7785), p.36-38

Moreau, Yves

2019

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A python library for the fast and scalable computation of biologically meaningful individual specific networks

Scientific reports, 2024-08, Vol.14 (1), p.18243-8, Article 18243

2024

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Biologically meaningful genome interpretation models to address data underdetermination for the leaf and seed ionome prediction in Arabidopsis thaliana

Scientific reports, 2024-06, Vol.14 (1), p.13188-11, Article 13188

2024

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Candidate gene prioritization by network analysis of differential expression using machine learning approaches

BMC bioinformatics, 2010-09, Vol.11 (1), p.460-460, Article 460

2010

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Effective diagnosis of genetic disease by computational phenotype analysis of the disease-associated genome

Science translational medicine, 2014-09, Vol.6 (252), p.252ra123

2014

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Genome interpretation in a federated learning context allows the multi-center exome-based risk prediction of Crohn’s disease patients

Scientific reports, 2023-11, Vol.13 (1), p.19449-19449, Article 19449

2023

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Protein fold recognition using geometric kernel data fusion

Bioinformatics (Oxford, England), 2014-07, Vol.30 (13), p.1850-1857

2014

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A human phenome-interactome network of protein complexes implicated in genetic disorders

Nature biotechnology, 2007-03, Vol.25 (3), p.309-316

2007

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Drug repositioning or target repositioning: A structural perspective of drug-target-indication relationship for available repurposed drugs

Computational and structural biotechnology journal, 2020-01, Vol.18, p.1043-1055

2020

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Pan-cancer analysis of homozygous deletions in primary tumours uncovers rare tumour suppressors

Nature communications, 2017-10, Vol.8 (1), p.1221-14, Article 1221

2017

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Gene prioritization through genomic data fusion

Nature biotechnology, 2006-05, Vol.24 (5), p.537-544

2006

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Structure-based drug repositioning explains ibrutinib as VEGFR2 inhibitor

PloS one, 2020-05, Vol.15 (5), p.e0233089

2020

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Splitting chemical structure data sets for federated privacy-preserving machine learning

Journal of cheminformatics, 2021-12, Vol.13 (1), p.96-14, Article 96

2021

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An unbiased evaluation of gene prioritization tools

Bioinformatics, 2012-12, Vol.28 (23), p.3081-3088

2012

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Computational tools for prioritizing candidate genes: boosting disease gene discovery

GRNBoost2 and Arboreto: efficient and scalable inference of gene regulatory networks

Large sample size and nonlinear sparse models outline epistatic effects in inflammatory bowel disease

From hype to reality: data science enabling personalized medicine

Current cancer driver variant predictors learn to recognize driver genes instead of functional variants

Repurposing High-Throughput Image Assays Enables Biological Activity Prediction for Drug Discovery

Insight into the protein solubility driving forces with neural attention

DECIPHER : Database of Chromosomal Imbalance and Phenotype in Humans Using Ensembl Resources

Towards practical privacy-preserving genome-wide association study

PyUUL provides an interface between biological structures and deep learning algorithms

Chromosome instability is common in human cleavage-stage embryos

Crack down on genomic surveillance

A python library for the fast and scalable computation of biologically meaningful individual specific networks

Biologically meaningful genome interpretation models to address data underdetermination for the leaf and seed ionome prediction in Arabidopsis thaliana

Candidate gene prioritization by network analysis of differential expression using machine learning approaches

Effective diagnosis of genetic disease by computational phenotype analysis of the disease-associated genome

Genome interpretation in a federated learning context allows the multi-center exome-based risk prediction of Crohn’s disease patients

Protein fold recognition using geometric kernel data fusion

A human phenome-interactome network of protein complexes implicated in genetic disorders

Drug repositioning or target repositioning: A structural perspective of drug-target-indication relationship for available repurposed drugs

Pan-cancer analysis of homozygous deletions in primary tumours uncovers rare tumour suppressors

Gene prioritization through genomic data fusion

Structure-based drug repositioning explains ibrutinib as VEGFR2 inhibitor

Splitting chemical structure data sets for federated privacy-preserving machine learning

An unbiased evaluation of gene prioritization tools

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