%0 Journal Article %1 citeulike:864619 %A Du, Pan %A Kibbe, Warren A. %A Lin, Simon M. %C Robert H. Lurie Comprehensive Cancer Center, Northwestern University Chicago, IL 60611, USA. %D 2006 %I Oxford University Press %J Bioinformatics %K 68u10-image-processing 65d19-computational-issues-in-computer-and-robotic-vision %N 17 %P 2059--2065 %R 10.1093/bioinformatics/btl355 %T Improved peak detection in mass spectrum by incorporating continuous wavelet transform-based pattern matching %U http://dx.doi.org/10.1093/bioinformatics/btl355 %V 22 %X Motivation: A major problem for current peak detection algorithms is that noise in mass spectrometry (MS) spectra gives rise to a high rate of false positives. The false positive rate is especially problematic in detecting peaks with low amplitudes. Usually, various baseline correction algorithms and smoothing methods are applied before attempting peak detection. This approach is very sensitive to the amount of smoothing and aggressiveness of the baseline correction, which contribute to making peak detection results inconsistent between runs, instrumentation and analysis methods.

@article{citeulike:864619, abstract = {{Motivation: A major problem for current peak detection algorithms is that noise in mass spectrometry (MS) spectra gives rise to a high rate of false positives. The false positive rate is especially problematic in detecting peaks with low amplitudes. Usually, various baseline correction algorithms and smoothing methods are applied before attempting peak detection. This approach is very sensitive to the amount of smoothing and aggressiveness of the baseline correction, which contribute to making peak detection results inconsistent between runs, instrumentation and analysis methods.}}, added-at = {2017-06-29T07:13:07.000+0200}, address = {Robert H. Lurie Comprehensive Cancer Center, Northwestern University Chicago, IL 60611, USA.}, author = {Du, Pan and Kibbe, Warren A. and Lin, Simon M.}, biburl = {https://www.bibsonomy.org/bibtex/23f28633c8ee88240757f417a4bf66fa1/gdmcbain}, citeulike-article-id = {864619}, citeulike-attachment-1 = {du_06_improved_952731.pdf; /pdf/user/gdmcbain/article/864619/952731/du_06_improved_952731.pdf; 1bed2621a331dc58bc1a367d386855820c606218}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/bioinformatics/btl355}, citeulike-linkout-1 = {http://bioinformatics.oxfordjournals.org/content/22/17/2059.abstract}, citeulike-linkout-2 = {http://bioinformatics.oxfordjournals.org/content/22/17/2059.full.pdf}, citeulike-linkout-3 = {http://bioinformatics.oxfordjournals.org/cgi/content/abstract/22/17/2059}, citeulike-linkout-4 = {http://view.ncbi.nlm.nih.gov/pubmed/16820428}, citeulike-linkout-5 = {http://www.hubmed.org/display.cgi?uids=16820428}, comment = {cited in documentation to 'scipy.signal.find\_peaks\_cwt':http://docs.scipy.org/doc/scipy/reference/generated/scipy.signal.find\_peaks\_cwt.html\#scipy.signal.find\_peaks\_cwt}, day = 01, doi = {10.1093/bioinformatics/btl355}, file = {du_06_improved_952731.pdf}, interhash = {b9211b709a5779bf22c293f93ff25913}, intrahash = {3f28633c8ee88240757f417a4bf66fa1}, issn = {1460-2059}, journal = {Bioinformatics}, keywords = {68u10-image-processing 65d19-computational-issues-in-computer-and-robotic-vision}, month = sep, number = 17, pages = {2059--2065}, pmid = {16820428}, posted-at = {2014-03-02 22:30:59}, priority = {0}, publisher = {Oxford University Press}, timestamp = {2019-04-29T03:30:10.000+0200}, title = {{Improved peak detection in mass spectrum by incorporating continuous wavelet transform-based pattern matching}}, url = {http://dx.doi.org/10.1093/bioinformatics/btl355}, volume = 22, year = 2006 }