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

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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: https://doi.org/10.1101/2020.01.14.905760

Laura Cantini

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

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For correspondence: laura.cantini@ens.fr anais.baudot@univ-amu.fr

Pooya Zakeri

2Aix Marseille Univ, INSERM, Marseille Medical Genetics, CNRS, Marseille, France

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Celine Hernandez

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Aurelien Naldi

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Denis Thieffry

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Elisabeth Remy

3Aix Marseille University, CNRS, Marseille Mathematics Institute, France

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Anaïs Baudot

2Aix Marseille Univ, INSERM, Marseille Medical Genetics, CNRS, Marseille, France

4Barcelona Supercomputing Center (BSC), Barcelona, 08034 Spain

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For correspondence: laura.cantini@ens.fr anais.baudot@univ-amu.fr

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Posted January 14, 2020.

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Benchmarking joint multi-omics dimensionality reduction approaches for cancer study

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

bioRxiv 2020.01.14.905760; doi: https://doi.org/10.1101/2020.01.14.905760

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Benchmarking joint multi-omics dimensionality reduction approaches for cancer study

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

bioRxiv 2020.01.14.905760; doi: https://doi.org/10.1101/2020.01.14.905760

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