The Analysis Of Quantitative Proteomics Based On Wavelet Analysis

ASAPRatio program of Proteomics could evaluate protein abundance ratios and their associated errors,but it is possible that background noise is not removed completely with the Savitzky-Golay smooth filtering method.On the base of wavelet theory,we improve ASAPRatio program with two different filtering methods.One is threshold-based filtering by wavelet transform,the other is Spatial Adaptive Algorithm.They are suit for the different situation,and both could increase the accuracy of the data from mass spectrometry.Then,we validate the new program with five different experimental samples from BSA experiment.Finally,we prove the efficiency of wavelet based filtering method by the comparison with the result of ASAPRatio program and the improved one.