Datasets
Models
106 lines (73 with data), 3.2 kB
Consensus Clustering
InMoose implements consensus clustering [Monti2003], an unsupervised cluster discovery algorithm. InMoose implementation is based on a previous implementation by Žiga Sajovic
Cohort Stratification
We illustrate the clustering-based stratification capabilities of InMoose.
We start by simulating RNA-Seq data, using the :mod:`sim` module of InMoose.
We then run the consensus clustering algorithm.
We can now look at the clusters found.
References
| [Monti2003] | S. Monti, P. Tamayo, J. Mesirov, T. Golub. 2003. Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data. Machine Learning 52(1). :doi:`https://doi.org/10.1023/A:1023949509487` |