Benchmarking joint multi-omics dimensionality reduction approaches for cancer study

Laura Cantini; Pooya Zakeri; Celine Hernandez; Aurelien Naldi; Denis Thieffry; Elisabeth Remy; Anaïs Baudot

doi:10.1101/2020.01.14.905760

Article Information

doi

https://doi.org/10.1101/2020.01.14.905760

History

January 14, 2020.

The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

Laura Cantini1,*,
Pooya Zakeri2,#a,
Celine Hernandez1,#b,
Aurelien Naldi1,
Denis Thieffry1,
Elisabeth Remy3 and
Anaïs Baudot2,4,*

¹Computational Systems Biology Team, Institut de Biologie de l’Ecole Normale Supérieure, CNRS UMR8197, INSERM U1024, Ecole Normale Supérieure, Paris Sciences et Lettres Research University, 75005 Paris, France
²Aix Marseille Univ, INSERM, Marseille Medical Genetics, CNRS, Marseille, France
³Aix Marseille University, CNRS, Marseille Mathematics Institute, France
⁴Barcelona Supercomputing Center (BSC), Barcelona, 08034 Spain

↵*Corresponding authors: laura.cantini{at}ens.fr, anais.baudot{at}univ-amu.fr

↵#a Centre for Brain and Disease Research, Flanders Institute for Biotechnology (VIB), Leuven, Belgium and Department of Neurosciences and Leuven Brain Institute, KU Leuven, Leuven, Belgium.
#b Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Univ. Paris-Sud, Université Paris-Saclay, 91198, Gif-sur-Yvette cedex, France.