LAceP: Lysine Acetylation Site Prediction Using Logistic Regression Classifiers
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Abstract
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DOI: 10.1371/journal.pone.0089575
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References listed on IDEAS
- Sheng-Bao Suo & Jian-Ding Qiu & Shao-Ping Shi & Xing-Yu Sun & Shu-Yun Huang & Xiang Chen & Ru-Ping Liang, 2012. "Position-Specific Analysis and Prediction for Protein Lysine Acetylation Based on Multiple Features," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-11, November.
- Zhen Chen & Yong-Zi Chen & Xiao-Feng Wang & Chuan Wang & Ren-Xiang Yan & Ziding Zhang, 2011. "Prediction of Ubiquitination Sites by Using the Composition of k-Spaced Amino Acid Pairs," PLOS ONE, Public Library of Science, vol. 6(7), pages 1-8, July.
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Cited by:
- Qiqige Wuyun & Wei Zheng & Yanping Zhang & Jishou Ruan & Gang Hu, 2016. "Improved Species-Specific Lysine Acetylation Site Prediction Based on a Large Variety of Features Set," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-21, May.
- David Geisel & Peter Lenz, 2022. "Machine learning classification of trajectories from molecular dynamics simulations of chromosome segregation," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-33, January.
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