Jia, H., Park, S., & Nakai, K. (2021). A semi-supervised deep learning approach for predicting the functional effects of genomic non-coding variations. BMC Bioinformatics, 22(Suppl 6), 1-12. https://doi.org/10.1186/s12859-021-03999-8
Chicago Style (17th ed.) CitationJia, Hao, Sung-Joon Park, and Kenta Nakai. "A Semi-supervised Deep Learning Approach for Predicting the Functional Effects of Genomic Non-coding Variations." BMC Bioinformatics 22, no. Suppl 6 (2021): 1-12. https://doi.org/10.1186/s12859-021-03999-8.
MLA (9th ed.) CitationJia, Hao, et al. "A Semi-supervised Deep Learning Approach for Predicting the Functional Effects of Genomic Non-coding Variations." BMC Bioinformatics, vol. 22, no. Suppl 6, 2021, pp. 1-12, https://doi.org/10.1186/s12859-021-03999-8.
Warning: These citations may not always be 100% accurate.