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| How to run CNV_SS |
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1. Download the CNV_SS source and sample data of download page. 2. Unzip CNV_SS source to some folder. ....  ....- CNV_SS.m : Main function ....- load_data.m : Load data ....- gConv.m : Gaussian kernel ....- diff2.m : Laplacian ....- LoG.m : Laplacian of Gaussian ....- RLEcode.m : Run Length Encoding ....- dtCNV.m : Detect CNV regions 3. Unzip the sample data. ....- Input file format .....  4. Prepare to run CNV_SS ....- Run a MATLAB. .......  ....- ....... ....- Select a folder that have source files. .......  5. CNV Call ....- Input the run command. .......  .......>> CNV_SS(FileName, init_sigma); ..............- FileName: input file name ..............- init_sigma: initial sigma value for start layer 6. Get a result. ....- Output file format ......  .......- Start: Start position of CNV .......- Stop: Stop position of CNV .......- Length: Length of CNV .......- Type: 'Gain' or 'Loss' |
| Database Laboratory, Department of Computer Engineering, Hallym University, 1 Hallymdaehak-gil, Chuncheon, Gangwon-do 200-702, Korea |