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温度限制串联相关神经网络及其在细菌辨识中的应用 被引量:4

Temperature-constrained Cascade Correlation Network andIts Application to Bacteria Identification
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摘要 蛋白质在微生物研究中可用作生物标记物, 故在生物技术中其表征工作很重要. 各种质谱技术已被用于细菌的表征[1~3]. 1994年, Cain等[4]首先报道了将色谱和基体辅助激光解离/电离飞行时间质谱(MALDI-TOF-MS)用于细菌的辨识. Holland等[5]采用高质量离子MALDI-TOF-MS对细菌全细胞进行辨识. 最近, Lay[6]对该技术的细菌辨识做了综述. MALDI-TOF-MS是目前对细菌全细胞分析的最佳手段. The theoretical basis of temperature constrained cascade correlation network(TCCCN) was in-troduced briefly. The TCCCN models were used to identify various bacteria from their matrix-assistedlaser desorption/ionization time-of-flight mass spectrometric (MALDI-TOF-MS) data. The identificationof eight different bacteria and the bacteria identification based on different culture time have been dis-cussed. The results show that the TCCCN could produce robust and feature-oriented models for bacteria i-dentification based on MALDI-TOF-MS. However, mis-identification may occur for some bacteria sam-ples due to variation in cell biology under environmental conditions.
出处 《高等学校化学学报》 SCIE EI CAS CSCD 北大核心 2002年第4期570-572,共3页 Chemical Journal of Chinese Universities
基金 教育部中青年骨干教师基金资助.
关键词 细菌 MALDI 飞行时间质谱 TCCCN 人工神经网络 辨识 温度限制串联相关神经网络 Bacteria MALDI Time-of-flight mass spectrometry TCCCN Artificial neural network
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参考文献15

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同被引文献28

  • 1ZHANG Zhuo-yong, HONG Zhe, ZHOU Hua-lan and LIU Si-dong (Faculty of Chemistry, Northeast Normal University, Changchun 130024, P. R. China,Chemical Engineering Department, Dandong College, Dandong 118003, P. R. China).Diagnostic Classification of Normal Persons andCancer Patients by Using Neural NetworkBased on Trace Metal Contents in Serum Samples[J].Chemical Research in Chinese Universities,2001,17(2):153-158. 被引量:1
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