Article Versions Notes

Carreras J, Kikuti YY, Miyaoka M, Hiraiwa S, Tomita S, Ikoma H, Kondo Y, Ito A, Nakamura N, Hamoudi R. Artificial Intelligence Analysis of the Gene Expression of Follicular Lymphoma Predicted the Overall Survival and Correlated with the Immune Microenvironment Response Signatures. Machine Learning and Knowledge Extraction. 2020; 2(4):647-671. https://doi.org/10.3390/make2040035

Carreras, Joaquim, Yara Yukie Kikuti, Masashi Miyaoka, Shinichiro Hiraiwa, Sakura Tomita, Haruka Ikoma, Yusuke Kondo, Atsushi Ito, Naoya Nakamura, and Rifat Hamoudi. 2020. "Artificial Intelligence Analysis of the Gene Expression of Follicular Lymphoma Predicted the Overall Survival and Correlated with the Immune Microenvironment Response Signatures" Machine Learning and Knowledge Extraction 2, no. 4: 647-671. https://doi.org/10.3390/make2040035

Carreras, J., Kikuti, Y. Y., Miyaoka, M., Hiraiwa, S., Tomita, S., Ikoma, H., Kondo, Y., Ito, A., Nakamura, N., & Hamoudi, R. (2020). Artificial Intelligence Analysis of the Gene Expression of Follicular Lymphoma Predicted the Overall Survival and Correlated with the Immune Microenvironment Response Signatures. Machine Learning and Knowledge Extraction, 2(4), 647-671. https://doi.org/10.3390/make2040035