Long, N.P.; Park, S.; Anh, N.H.; Nghi, T.D.; Yoon, S.J.; Park, J.H.; Lim, J.; Kwon, S.W.
High-Throughput Omics and Statistical Learning Integration for the Discovery and Validation of Novel Diagnostic Signatures in Colorectal Cancer. Int. J. Mol. Sci. 2019, 20, 296.
https://doi.org/10.3390/ijms20020296
AMA Style
Long NP, Park S, Anh NH, Nghi TD, Yoon SJ, Park JH, Lim J, Kwon SW.
High-Throughput Omics and Statistical Learning Integration for the Discovery and Validation of Novel Diagnostic Signatures in Colorectal Cancer. International Journal of Molecular Sciences. 2019; 20(2):296.
https://doi.org/10.3390/ijms20020296
Chicago/Turabian Style
Long, Nguyen Phuoc, Seongoh Park, Nguyen Hoang Anh, Tran Diem Nghi, Sang Jun Yoon, Jeong Hill Park, Johan Lim, and Sung Won Kwon.
2019. "High-Throughput Omics and Statistical Learning Integration for the Discovery and Validation of Novel Diagnostic Signatures in Colorectal Cancer" International Journal of Molecular Sciences 20, no. 2: 296.
https://doi.org/10.3390/ijms20020296
APA Style
Long, N. P., Park, S., Anh, N. H., Nghi, T. D., Yoon, S. J., Park, J. H., Lim, J., & Kwon, S. W.
(2019). High-Throughput Omics and Statistical Learning Integration for the Discovery and Validation of Novel Diagnostic Signatures in Colorectal Cancer. International Journal of Molecular Sciences, 20(2), 296.
https://doi.org/10.3390/ijms20020296