APA (7th ed.) Citation

Kobayashi, H., Nakata, N., Izuka, S., Hongo, K., & Nishikawa, M. Using artificial intelligence and promoter-level transcriptome analysis to identify a biomarker as a possible prognostic predictor of cardiac complications in male patients with Fabry disease. Elsevier.

Chicago Style (17th ed.) Citation

Kobayashi, Hiroshi, Norio Nakata, Sayoko Izuka, Kenichi Hongo, and Masako Nishikawa. Using Artificial Intelligence and Promoter-level Transcriptome Analysis to Identify a Biomarker as a Possible Prognostic Predictor of Cardiac Complications in Male Patients with Fabry Disease. Elsevier.

MLA (9th ed.) Citation

Kobayashi, Hiroshi, et al. Using Artificial Intelligence and Promoter-level Transcriptome Analysis to Identify a Biomarker as a Possible Prognostic Predictor of Cardiac Complications in Male Patients with Fabry Disease. Elsevier.