A powerful framework for an integrative study with heterogeneous omics data: from univariate statistics to multi-block analysis.

MLA

Duruflé, Harold, et al. “A Powerful Framework for an Integrative Study with Heterogeneous Omics Data: From Univariate Statistics to Multi-Block Analysis.” Briefings in Bioinformatics, vol. 22, no. 3, May 2021. EBSCOhost, https://doi.org/10.1093/bib/bbaa166.

APA

Duruflé, H., Selmani, M., Ranocha, P., Jamet, E., Dunand, C., & Déjean, S. (2021). A powerful framework for an integrative study with heterogeneous omics data: from univariate statistics to multi-block analysis. Briefings in Bioinformatics, 22(3). https://doi.org/10.1093/bib/bbaa166

Chicago

Duruflé, Harold, Merwann Selmani, Philippe Ranocha, Elisabeth Jamet, Christophe Dunand, and Sébastien Déjean. 2021. “A Powerful Framework for an Integrative Study with Heterogeneous Omics Data: From Univariate Statistics to Multi-Block Analysis.” Briefings in Bioinformatics 22 (3). doi:10.1093/bib/bbaa166.