Application of Independent Component Analysis to Tumor Transcriptomes Reveals Specific and Reproducible Immune-Related Signals. - Urszula Czerwinska; Laura Cantini; Ulykbek Kairov; Emmanuel Barillot; Andrei Yu. Zinovyev (LVA/ICA, 2018)

Assessing reproducibility of matrix factorization methods in independent transcriptomes. - Laura Cantini; Ulykbek Kairov; Aurélien de Reyniès; Emmanuel Barillot; François Radvanyi; Andrei Yu. Zinovyev (Bioinform., 2019)

Collective intelligence defines biological functions in Wikipedia as communities in the hidden protein connection network. - Andrei Yu. Zinovyev; Urszula Czerwinska; Laura Cantini; Emmanuel Barillot; Klaus M. Frahm; Dima L. Shepelyansky (PLoS Comput. Biol., 2020)

Unsupervised Ground Metric Learning using Wasserstein Eigenvectors. - Geert-Jan Huizing; Laura Cantini; Gabriel Peyré (CoRR, 2021)

Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors. - Geert-Jan Huizing; Laura Cantini; Gabriel Peyré (ICML, 2022)

Optimal transport improves cell-cell similarity inference in single-cell omics data. - Geert-Jan Huizing; Gabriel Peyré; Laura Cantini (Bioinform., 2022)