Latest

• Multiview cluster aggregation and splitting, with an application to multiomic breast cancer data
• Clustering transformed compositional data using K-means, with applications in gene expression and bicycle sharing system data
• Synthetic data sets for the identification of key ingredients for RNA-seq differential analysis
• Transformation and model choice for RNA-seq co-expression analysis
• Chapter 10 : Clustering of co-expressed genes.
• Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture models