V. A. Huynh-Thu

发表

Inferring Regulatory Networks from Expression Data Using Tree-Based Methods

P. Geurts, L. Wehenkel, V. A. Huynh-Thu, 2010, PloS one.

SCENIC: Single-cell regulatory network inference and clustering

J. Aerts, P. Geurts, S. Aerts, 2017, Nature Methods.

Mapping gene regulatory networks in Drosophila eye development by large-scale transcriptome perturbations and motif inference.

Pierre Geurts, Stein Aerts, Gert Hulselmans, 2014, Cell reports.

Identification of a microRNA landscape targeting the PI3K/Akt signaling pathway in inflammation-induced colorectal carcinogenesis.

P. Geurts, P. Delvenne, V. A. Huynh-Thu, 2014, American journal of physiology. Gastrointestinal and liver physiology.

Gene Regulatory Network Inference: An Introductory Survey.

G. Sanguinetti, V. A. Huynh-Thu, 2018, Methods in molecular biology.

NIMEFI: Gene Regulatory Network Inference using Multiple Ensemble Feature Importance Algorithms

Piet Demeester, Yvan Saeys, Tom Dhaene, 2014, PloS one.

Discovery of biomarker candidates associated with the risk of short-term and mid/long-term relapse after infliximab withdrawal in Crohn’s patients: a proteomics-based study

N. Smargiasso, D. Baiwir, G. Mazzucchelli, 2020, Gut.

Distinct blood protein profiles associated with the risk of short-term and mid/long-term clinical relapse in patients with Crohn’s disease stopping infliximab: when the remission state hides different types of residual disease activity

V. A. Huynh-Thu, M. Meuwis, M. Allez, 2022, Gut.

Optimizing model-agnostic Random Subspace ensembles

P. Geurts, V. A. Huynh-Thu, 2021, ArXiv.

Gene Regulatory Network Inference from Systems Genetics Data Using Tree-Based Methods

Pierre Geurts, Louis Wehenkel, Vân Anh Huynh-Thu, 2013 .

Machine learning-based feature ranking: Statistical interpretation and gene network inference

Vân Anh Huynh-Thu, V. A. Huynh-Thu, 2012 .

Gene Regulatory Networks

Guido Sanguinetti, Van Anh Huynh-Thu, G. Sanguinetti, 2019, Methods in Molecular Biology.

Myelin-Derived Lipids Modulate Macrophage Activity by Liver X Receptor Activation

V. A. Huynh-Thu, A. Irrthum, J. Gustafsson, 2012, PloS one.

Strand-specific , high-resolution mapping of modified RNA polymerase II

G. Sanguinetti, E. Petfalski, D. Tollervey, 2016 .

Tree-Based Learning of Regulatory Network Topologies and Dynamics with Jump3.

Vân Anh Huynh-Thu, Guido Sanguinetti, G. Sanguinetti, 2018, Methods in molecular biology.

Combining tree-based and dynamical systems for the inference of gene regulatory networks

Guido Sanguinetti, Vân Anh Huynh-Thu, G. Sanguinetti, 2015, Bioinform..

dynGENIE3: dynamical GENIE3 for the inference of gene networks from time series expression data

P. Geurts, V. A. Huynh-Thu, 2018, Scientific Reports.

Statistical interpretation of machine learning-based feature importance scores for biomarker discovery

Yvan Saeys, Pierre Geurts, Louis Wehenkel, 2012, Bioinform..

MicroRNAs Profiling in Murine Models of Acute and Chronic Asthma: A Relationship with mRNAs Targets

P. Geurts, V. A. Huynh-Thu, A. Irrthum, 2011, PloS one.

Bridging physiological and evolutionary time-scales in a gene regulatory network.

Pierre Geurts, Matthieu Vignes, Vân Anh Huynh-Thu, 2013, The New phytologist.

Knowledge-Guided Additive Modeling For Supervised Regression

P. Geurts, V. A. Huynh-Thu, Yann Claes, 2023, ArXiv.

NIMEFI: Gene Regulatory Network Inference using Multiple Ensemble Feature Importance Algorithms

P. Geurts, Y. Saeys, P. Demeester, 2014, PLoS ONE.

Gene Regulatory Network Inference from Systems Genetics Data Using Tree-Based Methods

P. Geurts, L. Wehenkel, V. A. Huynh-Thu, 2013 .

Unsupervised Gene Network Inference with Decision Trees and Random Forests.

Pierre Geurts, Vân Anh Huynh-Thu, P. Geurts, 2018, Methods in molecular biology.

dynGENIE3: dynamical GENIE3 for the inference of gene networks from time series expression data

Pierre Geurts, Vân Anh Huynh-Thu, P. Geurts, 2018, Scientific Reports.

From global to local MDI variable importances for random forests and when they are Shapley values pdf

Gilles Louppe, Pierre Geurts, Louis Wehenkel, 2021, NeurIPS.

Context-dependent feature analysis with random forests pdf

Gilles Louppe, Pierre Geurts, Louis Wehenkel, 2016, UAI.

Strand-specific , high-resolution mapping of modified RNA polymerase II

G. Sanguinetti, E. Petfalski, D. Tollervey, 2016 .

External validation of serum biomarkers predicting short-term and mid/long-term relapse in patients with Crohn's disease stopping infliximab.

D. Baiwir, G. Mazzucchelli, V. A. Huynh-Thu, 2024, Gut.

Inferring gene regulatory networks from expression data using tree-based methods

P. Geurts, L. Wehenkel, Y. Saeys, 2011 .