Tom Michoel

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 15

Top Topics

Biological Networks

Microarray Data

Gene Expression

Top Venues

PLoS Comput. Biol.

Publications

Dariush Salami, Ramin Hasibi, Sameera Palipana, Petar Popovski, Tom Michoel, Stephan Sigg
Tesla-Rapture: A Lightweight Gesture Recognition System From mmWave Radar Sparse Point Clouds. IEEE Trans. Mob. Comput. 22 (8) (2023)
Muhammad Ammar Malik, Alexander Selvikvåg Lundervold, Tom Michoel
rfPhen2Gen: A machine learning based association study of brain imaging phenotypes to genotypes. CoRR (2022)
Tom Michoel, Jitao David Zhang
Causal inference in drug discovery and development. CoRR (2022)
Muhammad Ammar Malik, Adriaan-Alexander Ludl, Tom Michoel
High-Dimensional Multi-trait GWAS By Reverse Prediction of Genotypes Using Machine Learning Methods. CIBB (2021)
Muhammad Ammar Malik, Adriaan-Alexander Ludl, Tom Michoel
High-dimensional multi-trait GWAS by reverse prediction of genotypes. CoRR (2021)
Ramin Hasibi, Tom Michoel
A Graph Feature Auto-Encoder for the prediction of unobserved node features on biological networks. BMC Bioinform. 22 (3) (2021)
Dariush Salami, Ramin Hasibi, Sameera Palipana, Petar Popovski, Tom Michoel, Stephan Sigg
Tesla-Rapture: A Lightweight Gesture Recognition System from mmWave Radar Point Clouds. CoRR (2021)
Dariush Salami, Ramin Hasibi, Stefano Savazzi, Tom Michoel, Stephan Sigg
Integrating Sensing and Communication in Cellular Networks via NR Sidelink. CoRR (2021)
Ramin Hasibi, Tom Michoel
Predicting gene expression from network topology using graph neural networks. CoRR (2020)
Pau Erola, Johan Björkegren, Tom Michoel
Model-based clustering of multi-tissue gene expression data. Bioinform. 36 (6) (2020)
Muhammad Ammar Malik, Tom Michoel
Restricted maximum-likelihood method for learning latent variance components in gene expression data with known and unknown confounders. CoRR (2020)
Tom Michoel
Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net. NeurIPS (2018)
Tom Michoel
Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net. CoRR (2017)
Lingfei Wang, Tom Michoel
Efficient and accurate causal inference with hidden confounders from genome-transcriptome variation data. PLoS Comput. Biol. 13 (8) (2017)
Tom Michoel
Natural coordinate descent algorithm for L1-penalised regression in generalised linear models. Comput. Stat. Data Anal. 97 (2016)
Anagha Joshi, Yvonne Beck, Tom Michoel
. J. Comput. Biol. 22 (4) (2015)
Eric Bonnet, Laurence Calzone, Tom Michoel
Integrative Multi-omics Module Network Inference with Lemon-Tree. PLoS Comput. Biol. 11 (2) (2015)
Jianlong Qi, Hassan Asl, Johan Björkegren, Tom Michoel
kruX: matrix-based non-parametric eQTL discovery. BMC Bioinform. 15 (2014)
Jianlong Qi, Tom Michoel
-tests. Bioinform. 28 (18) (2012)
Marleen Claeys, Valerie Storms, Hong Sun, Tom Michoel, Kathleen Marchal
MotifSuite: workflow for probabilistic motif detection and assessment. Bioinform. 28 (14) (2012)
Tom Michoel, Bruno Nachtergaele
Alignment and integration of complex networks by hypergraph-based spectral clustering CoRR (2012)
Jianlong Qi, Tom Michoel, Gregory Butler
An integrative approach to infer regulation programs in a transcription regulatory module network. BCB (2011)
Jianlong Qi, Tom Michoel, Gregory Butler
Applying Linear Models to Learn Regulation Programs in a Transcription Regulatory Module Network. EvoBio (2011)
Pieter Audenaert, Thomas Van Parys, Florian Brondel, Mario Pickavet, Piet Demeester, Yves Van de Peer, Tom Michoel
CyClus3D: a Cytoscape plugin for clustering network motifs in integrated networks. Bioinform. 27 (11) (2011)
Jianlong Qi, Tom Michoel, Gregory Butler
A regression tree-based Gibbs sampler to learn the regulation programs in a transcription regulatory module network. CIBCB (2010)
Eric Bonnet, Tom Michoel, Yves Van de Peer
Prediction of a gene regulatory network linked to prostate cancer from gene expression, microRNA and clinical data. Bioinform. 26 (18) (2010)
Tom Michoel, Riet De Smet, Anagha Joshi, Yves Van de Peer, Kathleen Marchal
Comparative analysis of module-based versus direct methods for reverse-engineering transcriptional regulatory networks. BMC Syst. Biol. 3 (2009)
Anagha Joshi, Riet De Smet, Kathleen Marchal, Yves Van de Peer, Tom Michoel
Module networks revisited: computational assessment and prioritization of model predictions. Bioinform. 25 (4) (2009)
Anagha Joshi, Yves Van de Peer, Tom Michoel
Analysis of a Gibbs sampler method for model-based clustering of gene expression data. Bioinform. 24 (2) (2008)
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
Validating module network learning algorithms using simulated data. BMC Bioinform. 8 (S-2) (2007)