A novel riboswitch classification based on imbalanced sequences achieved by machine learning
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DOI: 10.1371/journal.pcbi.1007760
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- Wade C. Winkler & Ali Nahvi & Adam Roth & Jennifer A. Collins & Ronald R. Breaker, 2004. "Control of gene expression by a natural metabolite-responsive ribozyme," Nature, Nature, vol. 428(6980), pages 281-286, March.
- Tyler H. McCormick & Adrian E. Raftery & David Madigan & Randall S. Burd, 2012. "Dynamic Logistic Regression and Dynamic Model Averaging for Binary Classification," Biometrics, The International Biometric Society, vol. 68(1), pages 23-30, March.
- Rebecca K. Montange & Robert T. Batey, 2006. "Structure of the S-adenosylmethionine riboswitch regulatory mRNA element," Nature, Nature, vol. 441(7097), pages 1172-1175, June.
- Ying Hong Li & Jing Yu Xu & Lin Tao & Xiao Feng Li & Shuang Li & Xian Zeng & Shang Ying Chen & Peng Zhang & Chu Qin & Cheng Zhang & Zhe Chen & Feng Zhu & Yu Zong Chen, 2016. "SVM-Prot 2016: A Web-Server for Machine Learning Prediction of Protein Functional Families from Sequence Irrespective of Similarity," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-14, August.
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