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Mass spectrometry-based serum peptide profiling in hepatocellular carcinoma with bone metastasis 被引量:8
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作者 Jian He Zhao-Chong Zeng +1 位作者 Zuo-Lin Xiang Ping Yang 《World Journal of Gastroenterology》 SCIE CAS 2014年第11期3025-3032,共8页
AIM:To investigate the potential of serum peptides as a diagnostic tool for hepatocellular carcinoma(HCC)with bone metastasis.METHODS:Matrix-assisted laser desorption ionization-time of flight mass spectrometry(MALDI-... AIM:To investigate the potential of serum peptides as a diagnostic tool for hepatocellular carcinoma(HCC)with bone metastasis.METHODS:Matrix-assisted laser desorption ionization-time of flight mass spectrometry(MALDI-TOF-MS)was used to characterize the serum peptide profile of HCC patients with bone metastasis.Serum samples from 138 HCC patients(66 cases with and 72 cases without bone metastasis)were randomly assigned into a training set(n=76)and a test set(n=62).Differential serum peptides were examined using ClinProt magnetic bead-based purification followed by MALDITOF-MS.The sequences of differentially expressed serum peptides were identified using liquid chromatography-mass spectrometry.A diagnostic model was established using a learning algorithm of radial basis function neural network verified by a single blind trial.Receiver operating characteristic(ROC)analysis was performed to evaluate the diagnostic power of the established model.RESULTS:Ten peptide peaks were significantly different between HCC patients with or without bone metastasis(P<0.001).Sequences of seven peptides with mass to charge ratios(m/z)of 1780.7,1866.5,2131.6,2880.4,1532.4,2489.8,and 2234.3 were successfully identified.These seven peptides were derived from alpha-fetoprotein,prothrombin,serglycin,isoform2 of inter-alpha-trypsin inhibitor heavy chain H4,isoform 1 of autophagy-related protein 16-2,and transthyretin and fibrinogen beta chains,respectively.The recognition rate and predictive power of a diagnostic model established on the basis of six significant peptides(m/z for these six peptides were 1535.4,1780.7,1866.5,2131.6,2880.4,and 2901.9)were 89.47%and82.89%,respectively.The sensitivity and specificity of this model based upon a single blind trial were 85.29%and 85.71%,respectively.ROC analysis found that the AUC(area under the ROC curve)value was 0.911.CONCLUSION:Our study suggested that serum peptides may serve as a diagnosis tool for HCC bone metastasis. 展开更多
关键词 HEPATOCELLULAR carcinoma SERUM PEPTIDES matrix-ass
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基于人工神经网络的深基坑支护方案优选研究 被引量:4
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作者 张海涛 何亚伯 《工程建设与设计》 2004年第5期69-71,共3页
在分析目前多指标综合评价问题求解方法的基础上,研究采用基于MatLab工具箱的BP神经网络方法解决深基坑支护方案优选问题,并对训练样本对的选取提出了新的方法,且以一个算例来说明方法的可行性。
关键词 深基坑 人工神经网络 支护方案 优选 综合评价 矩阵实验室 MATLAB
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改进的ASS-GDM优化测量矩阵方法
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作者 胡欢 陆家明 《南阳理工学院学报》 2015年第6期52-55,共4页
在压缩感知中,测量矩阵的优化设计是需要研究的核心问题之一,它决定着能否准确重构初始信号,所以测量矩阵必须满足一定的条件才能符合重构的要求。本文主要提出一种变步长梯度下降的测量矩阵优化方法(adaptive step size-gradient desce... 在压缩感知中,测量矩阵的优化设计是需要研究的核心问题之一,它决定着能否准确重构初始信号,所以测量矩阵必须满足一定的条件才能符合重构的要求。本文主要提出一种变步长梯度下降的测量矩阵优化方法(adaptive step size-gradient descent method,ASS-GDM),其出发点是:尽可能降低测量矩阵和表达字典之间的相关性,相关性越小,重构性能越好。该方法利用梯度下降法更新步长,并基于步长因子来进一步调节步长的变化,实现步长的自适应变化,提高算法的收敛速度。实验结果表明本文提出的方法具有很好的重建性能。 展开更多
关键词 ASS-GMD 压缩感知 测量矩阵 自适应步长
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