Software

Rule mining

Python module with functions for mining bases of implications and association rules in binary datasets (both 2- and n-dimensional). Also allows for the computation and handling of n-dimensional formal concepts.

Link

Based on

  • On Implication Bases in n-Lattices. Alexandre Bazin. Discrete Applied Mathematics 2020. (Abstract) (pdf)
  • A Depth-first Search Algorithm for Computing Pseudo-closed Sets. Alexandre Bazin. Discrete Applied Mathematics 2018. (Abstract) (pdf)
  • Représentation condensée de règles d’association multidimensionnelles. Alexandre Bazin, Aurélie Bertaux, Christophe Nicolle. EGC 2019. (Abstract : English, Français) (pdf)
  • Reduction and Introducers in d-contexts. Alexandre Bazin and Giacomo Kahn. ICFCA 2019. (Abstract) (pdf)
  • k-Partite Graphs as Contexts. Alexandre Bazin and Aurélie Bertaux. CLA 2018. (Abstract) (pdf)

Multicriteria decision making

Python module with functions for explaining the presence of alternatives on a Pareto front with background knowledge on the criteria.

Link

Based on

  • Explaining multicriteria decision making with formal concept analysis. Alexandre Bazin, Miguel Couceiro, Marie-Dominique Devignes and Amedeo Napoli. CLA 2020. (Abstract) (pdf)

Characterization of dataset features

Python module for selecting the most important features in a supervised classification dataset and interpreting them in terms of prediction and discrimination.

Link

Based on

  • Coming soon !

RNAseq clustering

Software for clustering RNA sequences. Click here for a comparison of its performance with other similar software.

Link

Based on

  • A De Novo Robust Clustering Approach for Amplicon-Based Sequence Data. Alexandre Bazin, Didier Debroas, Engelbert Mephu Nguifo. Journal Of Computational Biology 2018. (Abstract) (pdf)