Supervised learning from a source distribution (with known segmentation into cell sub-populations) 
             to fit a target distribution with unknown segmentation. It relies regularized optimal transport to directly 
             estimate the different cell population proportions from a biological sample characterized with flow cytometry 
             measurements. It is based on the regularized Wasserstein metric to compare cytometry measurements from 
             different samples, thus accounting for possible mis-alignment of a given cell population across sample 
             (due to technical variability from the technology of measurements). Supervised learning technique based 
             on the Wasserstein metric that is used to estimate an optimal re-weighting of class proportions in a 
             mixture model Details are presented in Freulon P, Bigot J and Hejblum BP (2021) <arXiv:2006.09003>.

Create simplex plots to visualize the similarity between 
    single-cells and selected clusters in a 1-/2-/3-simplex space.
    Velocity information can be added as an additional layer. 
    See Liu J, Wang Y et al (2023) <doi:10.1101/2023.12.07.570655> for more details.

Interface to interest and foreign exchange rates published by the Czech National Bank.

Get programmatic access to the open data provided by the
    Czech Statistical Office (CZSO, <https://czso.cz>).

Provides a novel framework to able to automatically develop and deploy
    an accurate Multiple Classifier System based on the feature-clustering 
    distribution achieved from an input dataset. 'D2MCS' was developed focused on 
    four main aspects: (i) the ability to determine an effective method to 
    evaluate the independence of features, (ii) the identification of the 
    optimal number of feature clusters, (iii) the training and tuning of ML 
    models and (iv) the execution of voting schemes to combine the outputs of 
    each classifier comprising the Multiple  Classifier System.

Creates interactive genome browser. It joins the data analysis power of 'R' and the visualization libraries of 'JavaScript' in one package. Barrios, D. & Prieto, C. (2017) <doi:10.1089/cmb.2016.0213>.