Cite
Prediction of Rice Transcription Start Sites Using TransPrise: A Novel Machine Learning Approach.
MLA
Pachganov, Stepan, et al. “Prediction of Rice Transcription Start Sites Using TransPrise: A Novel Machine Learning Approach.” Methods in Molecular Biology (Clifton, N.J.), vol. 2238, 2021, pp. 261–74. EBSCOhost, https://doi.org/10.1007/978-1-0716-1068-8_17.
APA
Pachganov, S., Murtazalieva, K., Zarubin, A., Taran, T., Chartier, D., & Tatarinova, T. V. (2021). Prediction of Rice Transcription Start Sites Using TransPrise: A Novel Machine Learning Approach. Methods in Molecular Biology (Clifton, N.J.), 2238, 261–274. https://doi.org/10.1007/978-1-0716-1068-8_17
Chicago
Pachganov, Stepan, Khalimat Murtazalieva, Alexei Zarubin, Tatiana Taran, Duane Chartier, and Tatiana V Tatarinova. 2021. “Prediction of Rice Transcription Start Sites Using TransPrise: A Novel Machine Learning Approach.” Methods in Molecular Biology (Clifton, N.J.) 2238: 261–74. doi:10.1007/978-1-0716-1068-8_17.