Tom Michoel

According to our database, Tom Michoel authored at least 29 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Tesla-Rapture: A Lightweight Gesture Recognition System From mmWave Radar Sparse Point Clouds.

Dariush Salami, Ramin Hasibi, Sameera Palipana, Petar Popovski, Tom Michoel, Stephan Sigg

IEEE Trans. Mob. Comput., August, 2023

2022

Causal inference in drug discovery and development.

Tom Michoel, Jitao David Zhang

CoRR, 2022

rfPhen2Gen: A machine learning based association study of brain imaging phenotypes to genotypes.

Muhammad Ammar Malik, Alexander Selvikvåg Lundervold, Tom Michoel

CoRR, 2022

2021

High-dimensional multi-trait GWAS by reverse prediction of genotypes.

Muhammad Ammar Malik, Adriaan-Alexander Ludl, Tom Michoel

CoRR, 2021

Integrating Sensing and Communication in Cellular Networks via NR Sidelink.

Dariush Salami, Ramin Hasibi, Stefano Savazzi, Tom Michoel, Stephan Sigg

CoRR, 2021

Tesla-Rapture: A Lightweight Gesture Recognition System from mmWave Radar Point Clouds.

Dariush Salami, Ramin Hasibi, Sameera Palipana, Petar Popovski, Tom Michoel, Stephan Sigg

CoRR, 2021

A Graph Feature Auto-Encoder for the prediction of unobserved node features on biological networks.

Ramin Hasibi, Tom Michoel

BMC Bioinform., 2021

High-Dimensional Multi-trait GWAS By Reverse Prediction of Genotypes Using Machine Learning Methods.

Muhammad Ammar Malik, Adriaan-Alexander Ludl, Tom Michoel

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2021

2020

Predicting gene expression from network topology using graph neural networks.

Ramin Hasibi, Tom Michoel

CoRR, 2020

Restricted maximum-likelihood method for learning latent variance components in gene expression data with known and unknown confounders.

Muhammad Ammar Malik, Tom Michoel

CoRR, 2020

Model-based clustering of multi-tissue gene expression data.

Pau Erola, Johan Björkegren, Tom Michoel

Bioinform., 2020

2018

Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net.

Tom Michoel

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Efficient and accurate causal inference with hidden confounders from genome-transcriptome variation data.

Lingfei Wang, Tom Michoel

PLoS Comput. Biol., 2017

2016

Natural coordinate descent algorithm for L1-penalised regression in generalised linear models.

Tom Michoel

Comput. Stat. Data Anal., 2016

2015

Integrative Multi-omics Module Network Inference with Lemon-Tree.

Eric Bonnet, Laurence Calzone, Tom Michoel

PLoS Comput. Biol., 2015

Multi-Species Network Inference Improves Gene Regulatory Network Reconstruction for Early Embryonic Development in <i>Drosophila</i>.

Anagha Joshi, Yvonne Beck, Tom Michoel

J. Comput. Biol., 2015

2014

kruX: matrix-based non-parametric eQTL discovery.

Jianlong Qi, Hassan Asl, Johan Björkegren, Tom Michoel

BMC Bioinform., 2014

2012

Alignment and integration of complex networks by hypergraph-based spectral clustering

Tom Michoel, Bruno Nachtergaele

CoRR, 2012

Context-specific transcriptional regulatory network inference from global gene expression maps using double two-way <i>t</i>-tests.

Jianlong Qi, Tom Michoel

Bioinform., 2012

MotifSuite: workflow for probabilistic motif detection and assessment.

Marleen Claeys, Valerie Storms, Hong Sun, Tom Michoel, Kathleen Marchal

Bioinform., 2012

2011

CyClus3D: a Cytoscape plugin for clustering network motifs in integrated networks.

Pieter Audenaert, Thomas Van Parys, Florian Brondel, Mario Pickavet, Piet Demeester, Yves Van de Peer, Tom Michoel

Bioinform., 2011

Applying Linear Models to Learn Regulation Programs in a Transcription Regulatory Module Network.

Jianlong Qi, Tom Michoel, Gregory Butler

Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2011

An integrative approach to infer regulation programs in a transcription regulatory module network.

Jianlong Qi, Tom Michoel, Gregory Butler

Proceedings of the ACM International Conference on Bioinformatics, 2011

2010

Prediction of a gene regulatory network linked to prostate cancer from gene expression, microRNA and clinical data.

Eric Bonnet, Tom Michoel, Yves Van de Peer

Bioinform., 2010

A regression tree-based Gibbs sampler to learn the regulation programs in a transcription regulatory module network.

Jianlong Qi, Tom Michoel, Gregory Butler

Proceedings of the 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2010

2009

Comparative analysis of module-based versus direct methods for reverse-engineering transcriptional regulatory networks.

Tom Michoel, Riet De Smet, Anagha Joshi, Yves Van de Peer, Kathleen Marchal

BMC Syst. Biol., 2009

Module networks revisited: computational assessment and prioritization of model predictions.

Anagha Joshi, Riet De Smet, Kathleen Marchal, Yves Van de Peer, Tom Michoel

Bioinform., 2009

2008

Analysis of a Gibbs sampler method for model-based clustering of gene expression data.

Anagha Joshi, Yves Van de Peer, Tom Michoel

Bioinform., 2008

2007

Validating module network learning algorithms using simulated data.

Tom Michoel, Steven Maere, Eric Bonnet, Anagha Joshi, Yvan Saeys, Tim Van den Bulcke, Koenraad Van Leemput, Piet van Remortel, Martin Kuiper, Kathleen Marchal, Yves Van de Peer

BMC Bioinform., 2007