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3.

Fast and robust adjustment of cell mixtures in epigenome-wide association studies with SmartSVA
by Chen, Jun

Chen, Jun, Ehsan Behnam, Jinyan Huang, Miriam F. Moffatt, Daniel J. Schaid, Liming Liang, and Xihong Lin. 2017. “Fast and robust adjustment of cell mixtures in epigenome-wide association studies with SmartSVA.” BMC Genomics 18 (1): 413. doi:10.1186/s12864-017-3808-1. http://dx.doi.org/10.1186/s12864-017-3808-1.

4.

A comprehensive survey of genetic variation in 20,691 subjects from four large cohorts
by Lindström, Sara

Lindström, S., S. Loomis, C. Turman, H. Huang, J. Huang, H. Aschard, A. T. Chan, et al. 2017. “A comprehensive survey of genetic variation in 20,691 subjects from four large cohorts.” PLoS ONE 12 (3): e0173997. doi:10.1371/journal.pone.0173997. http://dx.doi.org/10.1371/journal.pone.0173997.

13.

A genome-wide association study of marginal zone lymphoma shows association to the HLA region
by Vijai, Joseph

Vijai, J., Z. Wang, S. I. Berndt, C. F. Skibola, S. L. Slager, S. de Sanjose, M. Melbye, et al. 2015. “A genome-wide association study of marginal zone lymphoma shows association to the HLA region.” Nature Communications 6 (1): 5751. doi:10.1038/ncomms6751. http://dx.doi.org/10.1038/ncomms6751.

14.

Meta-analysis of genome-wide association studies discovers multiple loci for chronic lymphocytic leukemia
by Berndt, Sonja I.

Berndt, S. I., N. J. Camp, C. F. Skibola, J. Vijai, Z. Wang, J. Gu, A. Nieters, et al. 2016. “Meta-analysis of genome-wide association studies discovers multiple loci for chronic lymphocytic leukemia.” Nature Communications 7 (1): 10933. doi:10.1038/ncomms10933. http://dx.doi.org/10.1038/ncomms10933.

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