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Using a Novel Negative Selection Inspired Anomaly Detection Algorithm to Identify Corrupted Ribo-seq and RNA-seq Samples

机译：使用新的否定选择灵感异常检测算法来识别损坏的Ribo-SEQ和RNA-SEQ样品

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Patrick Perkins; Steffen Heber;
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1. A boundary-fixed negative selection algorithm with online adaptive learning under small samples for anomaly detection [J] . Dong Li, Shulin Liu, Hongli Zhang Engineering Applications of Artificial Intelligence . 2016,第Apra期

机译：小样本下在线自适应学习的边界固定负选择算法
2. A negative selection algorithm with online adaptive learning under small samples for anomaly detection [J] . Dong Li, Shulin Liu, Hongli Zhang Neurocomputing . 2015,第ptab期

机译：小样本下在线自适应学习的负选择算法用于异常检测
3. Small sample training and test selection method for optimized anomaly detection algorithms in hyperspectral imagery [J] . Frank M. Mindrup, Mark A. Friend, Kenneth W. Bauer Journal of Applied Remote Sensing . 2012,第Null期

机译：高光谱图像中异常检测算法优化的小样本训练和测试选择方法
4. Detectors generation using genetic algorithm for a negative selection inspired anomaly network intrusion detection system [C] . Aziz Amira Sayed A., Salama Mostafa, ella Hassanien Aboul, 2012 Federated Conference on Computer Science and Information Systems. . 2012

机译：使用遗传算法生成检测器，用于负选择启发异常网络入侵检测系统
5. Feature selection algorithms for anomaly detection in hyperspectral data. [D] . Nakariyakul, Songyot. 2007

机译：用于高光谱数据异常检测的特征选择算法。
6. Which RNA-Seq Processing Algorithm Should I Pick? A Comparison of RNA-Seq Pipelines Based on Experimental Design Sample Properties and Sequencing Technology [O] . Zachary Banks, Vincent Butty, Stuart Levine 2013

机译：我应该选择哪种RNA-Seq处理算法？基于实验设计样品性质和测序技术的RNA-Seq管线比较
7. A real negative selection algorithm with evolutionary preference for anomaly detection [O] . Yang Tao, Chen Wen, Li Tao 2017

机译：一种真正的负选择算法，具有进化偏好的异常检测
8. Bio-Inspired Distributed Decision Algorithms for Anomaly Detection. [R] . Fefferman, N. H. 2017

机译：用于异常检测的Bio-Inspired分布式决策算法。

Using a Novel Negative Selection Inspired Anomaly Detection Algorithm to Identify Corrupted Ribo-seq and RNA-seq Samples

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