Patrick E. Meyer

发表

Combining semi-automated image analysis techniques with machine learning algorithms to accelerate large-scale genetic studies

Darren M. Wells, Guillaume Lobet, Jonathan A. Atkinson, 2017, bioRxiv.

Inferring causal relationships using information-theoretic measures

Gianluca Bontempi, Patrick E. Meyer, Catharina Olsen, 2009 .

Information-Theoretic Variable Selection and Network Inference from Microarray Data

Patrick E. Meyer, 2008 .

Using a structural root system model to evaluate and improve the accuracy of root image analysis pipelines

Loïc Pagès, Guillaume Lobet, Pierre Tocquin, 2016, bioRxiv.

Biological Network Inference Using Redundancy Analysis

Kevin Kontos, Gianluca Bontempi, Patrick E. Meyer, 2007, BIRD.

On the impact of entropy estimator in transcriptional regulatory network inference

Gianluca Bontempi, Patrick E. Meyer, Catharina Olsen, 2008 .

Study of Meta-analysis Strategies for Network Inference Using Information-Theoretic Approaches

Benjamin Haibe-Kains, Gianluca Bontempi, Patrick E. Meyer, 2016, DEXA Workshops.

Information-Theoretic Inference of Large Transcriptional Regulatory Networks

Kevin Kontos, Gianluca Bontempi, Frédéric Lafitte, 2007, EURASIP J. Bioinform. Syst. Biol..

Feature Subset Selection in Regression with High Feature-to-Sample Ratio Datasets

Patrick E. Meyer, 2004 .

Information‐Theoretic Gene Selection In Expression Data

Gianluca Bontempi, Patrick E. Meyer, Gianluca Bontempi, 2013 .

Speeding up Feature Selection by Using an Information Theoretic Bound

Gianluca Bontempi, Patrick E. Meyer, Olivier Caelen, 2005, BNAIC.

Collective Retrieval hy Autonomous Rohots

Patrick E. Meyer, 2004 .

Fact sheet: Using mutual information to infer causal relationships Catharina

Gianluca Bontempi, Patrick E. Meyer, Catharina Olsen, 2008, Neural Information Processing Systems.

Using a Structural Root System Model to Evaluate and Improve the Accuracy of Root Image Analysis Pipelines

Loïc Pagès, Guillaume Lobet, Pierre Tocquin, 2017, Frontiers in plant science.

Information-Theoretic Feature Selection in Microarray Data Using Variable Complementarity

Colas Schretter, Gianluca Bontempi, Patrick E. Meyer, 2008, IEEE Journal of Selected Topics in Signal Processing.

NetBenchmark: a bioconductor package for reproducible benchmarks of gene regulatory network inference

Philippe Salembier, Patrick E. Meyer, Pau Bellot, 2015, BMC Bioinformatics.

On the Use of Variable Complementarity for Feature Selection in Cancer Classification

Gianluca Bontempi, Patrick E. Meyer, Gianluca Bontempi, 2006, EvoWorkshops.

Gene Entity Recognition of Full Text Articles

Manuel Noll, Patrick E. Meyer, Jonathan Lete, 2017, BIOINFORMATICS 2017.

A Rank Minrelation - Majrelation Coefficient pdf

Patrick E. Meyer, 2013, ArXiv.

Efficient combination of pairswise feature networks pdf

Patrick E. Meyer, Pau Bellot, Pau Bellot, 2015, ArXiv.

On the Impact of Entropy Estimation on Transcriptional Regulatory Network Inference Based on Mutual Information

Gianluca Bontempi, Patrick E. Meyer, Catharina Olsen, 2008, EURASIP J. Bioinform. Syst. Biol..

Combining lazy learning, racing and subsampling for effective feature selection

Mauro Birattari, Gianluca Bontempi, Patrick E. Meyer, 2005 .

Effcient combination of pairwise feature networks

Patrick E. Meyer, Pau Bellot, Pau Bellot, 2015, Neural Connectomics.

Estimation of temporal lags for the inference of gene regulatory networks from time series (inproceedings) Author

Gianluca Bontempi, Miguel Lopes, Patrick E. Meyer, 2012 .

minet: A R/Bioconductor Package for Inferring Large Transcriptional Networks Using Mutual Information

Gianluca Bontempi, Frédéric Lafitte, Patrick E. Meyer, 2008, BMC Bioinformatics.

Combining semi-automated image analysis techniques with machine learning algorithms to accelerate large scale genetic studies

Darren M. Wells, Guillaume Lobet, Jonathan A. Atkinson, 2017, bioRxiv.

Study of Meta-analysis strategies for network inference using information-theoretic approaches

Benjamin Haibe-Kains, Gianluca Bontempi, Patrick E. Meyer, 2016, 2016 27th International Workshop on Database and Expert Systems Applications (DEXA).

Causal filter selection in microarray data

Gianluca Bontempi, Patrick E. Meyer, Gianluca Bontempi, 2010, ICML.

A Model-Based Relevance Estimation Approach for Feature Selection in Microarray Datasets

Gianluca Bontempi, Patrick E. Meyer, Gianluca Bontempi, 2008, ICANN.

Efficient combination of feature networks

Patrick E. Meyer, Pau Bellot, 2016 .

Transcriptional Network Inference Based on Information Theory

Gianluca Bontempi, Patrick E. Meyer, Catharina Olsen, 2011 .

Study of Normalization and Aggregation Approaches for Consensus Network Estimation

Philippe Salembier, Patrick E. Meyer, Pau Bellot, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

Open-hardware wireless controller and 3D-printed pumps for efficient liquid manipulation

Patrick E. Meyer, Alain Gervasi, Pierre Cardol, 2021, HardwareX.

Supporting Online Material Materials and Methods Figs. S1 to S50 Tables S1 to S18 References Identification of Functional Elements and Regulatory Circuits by Drosophila Modencode

Gos Micklem, Lincoln D Stein, Daniel Marbach, 2022 .

integrative inference of transcriptional networks by Drosophila melanogaster Predictive regulatory models in Material Supplemental

Patrick E. Meyer, Manolis Kellis, D. Marbach, 2012 .

Predictive Regulatory Models in of Transcriptional Networks

Patrick E. Meyer, Manolis Kellis, D. Marbach, 2012 .

Accessed Terms of Use

Tamer Kahveci, Daniel Marbach, Manolis Kellis, 2022 .

Integrative inference of transcriptional regulatory networks in Drosophila

Patrick E. Meyer, Manolis Kellis, D. Marbach, 2011 .

Sample average approximation for model selection

Patrick E. Meyer, M. Birattari, Gianluca Bontempi, 2004 .

The Rank Minrelation Coefficient

Patrick E. Meyer, 2014 .

CHAPTER 1 INFORMATION-THEORETIC GENE SELECTION IN EXPRESSION DATA

Patrick E. Meyer, Gianluca Bontempi, 2012 .

Vehicle & infrastructure relationships in hydrogen transportation networks: Development of the H2VISION modeling tool

Patrick E. Meyer, 2006 .

Inferring mutual information networks using the minet package

Patrick E. Meyer, Gianluca Bontempi, F. Lafitte, 2008 .

Comparison of radiomic pre-processing steps in the reproducible prediction of disease free survival across multi-scanners/centers

Patrick E. Meyer, M. Hatt, D. Visvikis, 2021 .

Inferring mutual information networks using the minet package

Patrick E. Meyer, Gianluca Bontempi, F. Lafitte, 2008 .

[18F]FDG PET radiomics to predict disease-free survival in cervical cancer: a multi-scanner/center study with external validation

Patrick E. Meyer, M. Hatt, D. Visvikis, 2021, European Journal of Nuclear Medicine and Molecular Imaging.

Correction to: [18F]FDG PET radiomics to predict disease-free survival in cervical cancer: a multi-scanner/center study with external validation

Patrick E. Meyer, M. Hatt, D. Visvikis, 2021, European Journal of Nuclear Medicine and Molecular Imaging.

Unsupervised GRN Ensemble.

Philippe Salembier, Patrick E. Meyer, Pau Bellot, 2018, Methods in molecular biology.

Information-Theoretic Inference of Gene Networks Using Backward Elimination

Daniel Marbach, Patrick Meyer, Manolis Kellis, 2010, BIOCOMP.

Distinction of Lymphoma from Sarcoidosis on 18F-FDG PET/CT: Evaluation of Radiomics-Feature–Guided Machine Learning Versus Human Reader Performance

Patrick E. Meyer, R. Hustinx, N. Withofs, 2022, The Journal of Nuclear Medicine.

Predictive regulatory models in Drosophila melanogaster by integrative inference of transcriptional networks

Patrick E. Meyer, Manolis Kellis, D. Marbach, 2012 .

Identification of Functional Elements and Regulatory Circuits by Drosophila modENCODE

Christopher D. Brown, Angela N. Brooks, Patrick E. Meyer, 2010, Science.

Identification of Functional Elements and Regulatory Circuits by Drosophila modENCODE

Christopher D. Brown, Angela N. Brooks, Patrick E. Meyer, 2011 .

Identification of Functional Elements and Regulatory Circuits by Drosophila modENCODE

Angela N. Brooks, Patrick E. Meyer, Michael F. Lin, 2010 .

Predictive regulatory models in Drosophila melanogaster by integrative inference of transcriptional networks

Patrick E. Meyer, Manolis Kellis, D. Marbach, 2012, Genome research.

integrative inference of transcriptional networks by Drosophila melanogaster Predictive regulatory models in Material Supplemental

Patrick E. Meyer, Manolis Kellis, D. Marbach, 2012 .

Automated Open-Hardware Multiwell Imaging Station for Microorganisms Observation

Patrick E. Meyer, P. Cardol, Alain Gervasi, 2022, Micromachines.

Identification of functional elements and regulatory circuits by Drosophila modENCODE

Angela N. Brooks, Patrick E. Meyer, Michael F. Lin, 2011 .