文件名称:PCA_and_ICA_project_june_8_2007

  • 所属分类:
  • 生物技术
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2013-03-14
  • 文件大小:
  • 7.48mb
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  • 0次
  • 提 供 者:
  • T***
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A DNA-based Pattern Recognition Technique for Cancer Detection-Our

findings indicate that the POD method can successfully

detect both cancer types, although our approach can be

applied to other types of disease or cancer.
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PCA_and_ICA_project_june_8_2007

...............................\Blad1.txt

...............................\Blad2.txt

...............................\BladderGui.asv

...............................\BladderGui.m

...............................\BladderGui.mat

...............................\BladderICA.m

...............................\BladderICA_Modes.asv

...............................\BladderICA_Modes.m

...............................\Bladder_Data.txt

...............................\Bladder_ICA_Modes_Itt.asv

...............................\Bladder_ICA_Modes_Itt.m

...............................\Bladder_ICA_Modes_Itt_Apr_16.m

...............................\Bladder_ICA_Modes_Itt_Comb.m

...............................\CovVsIteration.jpeg

...............................\DrawCovPlot.asv

...............................\DrawCovPlot.m

...............................\Draw_Sub_Fig.m

...............................\ICA.jpeg

...............................\ICA.m

...............................\IEEE_EMBS2004.pdf

...............................\Liver_Data.txt

...............................\Normal_pdf.m

...............................\OrderComponents.m

...............................\POD.M

...............................\POD.jpeg

...............................\POD_COV.jpeg

...............................\POD_Modes.asv

...............................\POD_Modes.m

...............................\PlotNormalAnalysis.m

...............................\PlotStats.m

...............................\Preprocess.m

...............................\TUMOR.jpeg

...............................\Thumbs.db

...............................\a.mat

...............................\conf59a747.pdf

...............................\f.asv

...............................\f.m

...............................\g.m

...............................\gp.m

...............................\hs_err_pid1080.log

...............................\hs_err_pid568.log

...............................\liver_cancer_XICHEN_12405.txt

...............................\mounds.M

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