According to our database1, Tom Michoel
Legend:Book In proceedings Article PhD thesis Other
Natural coordinate descent algorithm for L1-penalised regression in generalised linear models.
Computational Statistics & Data Analysis, 2016
Integrative Multi-omics Module Network Inference with Lemon-Tree.
PLoS Computational Biology, 2015
Multi-Species Network Inference Improves Gene Regulatory Network Reconstruction for Early Embryonic Development in Drosophila.
Journal of Computational Biology, 2015
kruX: matrix-based non-parametric eQTL discovery.
BMC Bioinformatics, 2014
Alignment and integration of complex networks by hypergraph-based spectral clustering
Context-specific transcriptional regulatory network inference from global gene expression maps using double two-way t-tests.
MotifSuite: workflow for probabilistic motif detection and assessment.
CyClus3D: a Cytoscape plugin for clustering network motifs in integrated networks.
Applying Linear Models to Learn Regulation Programs in a Transcription Regulatory Module Network.
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.
Proceedings of the ACM International Conference on Bioinformatics, 2011
Prediction of a gene regulatory network linked to prostate cancer from gene expression, microRNA and clinical data.
A regression tree-based Gibbs sampler to learn the regulation programs in a transcription regulatory module network.
Proceedings of the 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2010
Comparative analysis of module-based versus direct methods for reverse-engineering transcriptional regulatory networks.
BMC Systems Biology, 2009
Module networks revisited: computational assessment and prioritization of model predictions.
Analysis of a Gibbs sampler method for model-based clustering of gene expression data.
Validating module network learning algorithms using simulated data.
BMC Bioinformatics, 2007