质谱数据

zhì pǔ shù jù
  • Mass spectrometry data;mass spectrometric data
质谱数据质谱数据
  1. 训练完成之后随机挑选一组质谱数据对神经网络进行检测。我们发现神经网络对数据有很好的分类效果。

    After training , we pick a set of mass spectrometric data randomly to detect the neural network , and find that it had a good result in classification .

  2. 四极质谱数据采集控制技术的设计及FPGA的实现

    Data acquisition design and FPGA implementation in quadrupole mass spectrometry

  3. 基于LabView的共振增强双光子电离-飞行时间质谱数据采集系统

    Data acquisition system for resonance-enhanced 2 - photon ionization time-of-flight mass spectrometry based on Lab VIEW

  4. 分别用羧肽酶B降解和部分胰蛋白酶酶解后的质谱数据进一步证实了以上的修正。

    The revised sequence is further confirmed by comparing above FAB map with that of those peptides produced after further step of carboxypeptidase B digestion .

  5. CMS型四极质谱数据系统

    Quadrupole Mass Spectrum Data System Type CMS & 200

  6. 在此基础上利用了生物信息学的手段对差异蛋白质谱数据进行判读,获得用以进一步功能分析的备选分子,并用定量PCR进行验证。

    By using bioinformatics tools , we interpreted the differential proteome data to get candidate biomarkers for future functional analysis and validated them by Q-PCR .

  7. 第四章采用调节样本权重的boosting技术来提高质谱数据的分类精度,有效降低了分类的误判率。

    In chapter 4 , a powerful boosting-tree is used to classify the mass spectra data sets with low prediction error .

  8. 和空白粪样及樟柳碱相比较,根据代谢物相对分子质量的变化(ΔMr)及其多级质谱数据,鉴定并阐述其结构。

    Identification of the metabolites and their structural elucidation were performed by comparing their changes in molecular masses (Δ Mr ), retention-times and full scan MSn spectra with those of the parent drug and blank feces .

  9. 基于群体智能的特征选择算法在SELDI质谱数据分析中的研究

    The Research of Feature Selection Algorithm Based on Swarm Intelligence in SELDI Mass Spectral Data Analysis

  10. 本文提出了一个全新的混合模型对SELDI质谱数据进行建模。

    Here , we propose a novel mixture model to model the SELDI mass spectrometry data .

  11. pPreITMS:基于机器学习方法的串联质谱数据预处理系统

    PPre_ITMS : Tandem mass spectra preprocessing system based on machine learning

  12. 通过质谱数据与文献对照检识出主要特征峰成分,并根据主要特征成分对18个样品进行SPSS聚类分析。

    The characteristic peaks in chromatograms were identified by comparing mass data with literatures . Hierarchical clustering analysis was performed by SPSS based on the relative peak area ( RPA ) of identified peak to germacrone in 18 samples .

  13. 本文对胃癌患者SELDI-TOF血清蛋白质质谱数据进行建模与判别。

    This paper carried out the modeling and classification of the SELDI-TOF serum protein mass spectrometry data of patients with gastric cancer .

  14. 吲哚生物碱的质谱数据检索系统

    A Computer System for Searching the Mass Spectra of Indole Alkaloids

  15. 基于遗传算法的蛋白质质谱数据特征选择

    Feature Selection for Protein Mass Spectrometry Data Based on Genetic Algorithm

  16. 气相色谱-质谱数据的后处理

    Post - process of Gas Chromatography - Mass Spectral Data

  17. 数据挖掘中的分类方法及其在质谱数据中的应用

    Classification Methods in Data Mining and Their Applications to Mass Spectral Data

  18. 一种二次投影识别蛋白质谱数据的新方法

    A New Method for Recognition Proteomic Mass Spectrometry Data Using Double-Time Projections

  19. 一种质谱数据处理方法的扩充及程序化

    The development and programming of a data analysis method for mass spectra

  20. 数据库搜索是串联质谱数据搜库结果的质量控制问题的研究基础。

    Database search is the base of the quality control of peptide identifications .

  21. 质谱数据的质量评价及统计分析

    Quality Evaluation and Statistical Analysis for Mass Spectral Data

  22. 基因组序列测序和质谱数据证实了一些基因的多态性位点。

    Some SNPs were verified by genomic PCR and sequencing and MSMS analyses .

  23. 高分辨质谱数据系统的研制

    The Study and Manufacture of High-resolution MS Data Station

  24. 基于模拟退火算法的高分辨率蛋白质质谱数据特征选择

    Feature selection based on simulated annealing algorithm for high-resolution protein mass spectrometry data

  25. 主元余像集主成分分析在蛋白质质谱数据中的应用

    Application of 2nd PCA on protein mass spectrometry data

  26. 基于优化算法的蛋白质质谱数据分析

    Optimization Algorithms Based Protein Mass Spectrometry Data Analysis

  27. 基于生物质谱数据的互联网数据库检索

    The Bio-Mass Spectrometry Database Search on the Web

  28. 温度分辨的质谱数据解析

    Resolution of data from temperature distinguished mass spectrum

  29. 一种质谱数据的选取方法

    A Method for Selecting Mass Spectrum Data

  30. 因此对于补充质谱数据而言,一些关于保留行为的知识是非常需要的。

    Hence some knowledge of retention characteristics is often required to complement mass spectral data .