DeNovoCNN: A deep learning approach to de novo variant calling in next generation sequencing data

MLA

Khazeeva, G., et al. “DeNovoCNN: A Deep Learning Approach to de Novo Variant Calling in next Generation Sequencing Data.” Nucleic Acids Research, 2022. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1377144233&authtype=sso&custid=ns315887.

APA

Khazeeva, G., Sablauskas, K., Sanden, P. G. H. van der, Steyaert, W. A. R., Kwint, M. P., Rots, D., Hinne, M., Gerven, M. A. J. van, Yntema, H. G., Vissers, L. E. L. M., & Gilissen, C. F. H. A. (2022). DeNovoCNN: A deep learning approach to de novo variant calling in next generation sequencing data. Nucleic Acids Research.

Chicago

Khazeeva, G., K. Sablauskas, P.G.H. van der Sanden, W.A.R. Steyaert, M.P. Kwint, D. Rots, M. Hinne, et al. 2022. “DeNovoCNN: A Deep Learning Approach to de Novo Variant Calling in next Generation Sequencing Data.” Nucleic Acids Research. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1377144233&authtype=sso&custid=ns315887.