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moGSA: integrative single sample gene-set analysis of multiple omics data
Chen Meng, Bernhard Kuster, Bjoern Peters, Aedín C Culhane, Amin Moghaddas Gholami
doi: https://doi.org/10.1101/046904
Chen Meng
1Chair of Proteomics and Bioanalytics, Technische Universität München, Freising, Germany
Bernhard Kuster
1Chair of Proteomics and Bioanalytics, Technische Universität München, Freising, Germany
2Center for Integrated Protein Science Munich, Freising, Germany
Bjoern Peters
3La Jolla Institute for Allergy and Immunology, 9420 Athena Circle, La Jolla, CA 92037, USA
Aedín C Culhane
4Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
5Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
Amin Moghaddas Gholami
1Chair of Proteomics and Bioanalytics, Technische Universität München, Freising, Germany
6Current address: La Jolla Institute for Allergy and Immunology, 9420 Athena Circle, La Jolla, CA 92037, USA
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Posted April 03, 2016.
moGSA: integrative single sample gene-set analysis of multiple omics data
Chen Meng, Bernhard Kuster, Bjoern Peters, Aedín C Culhane, Amin Moghaddas Gholami
bioRxiv 046904; doi: https://doi.org/10.1101/046904
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