Comparison of normalisation methods for surface-enhanced laser desorption and ionisation (SELDI) time-of-flight (TOF) mass spectrometry data-0

<p><b>Copyright information:</b></p><p>Taken from "Comparison of normalisation methods for surface-enhanced laser desorption and ionisation (SELDI) time-of-flight (TOF) mass spectrometry data"</p><p>http://www.biomedcentral.com/1471-2105/9/88</p><p>BMC Bioinformatics 2008;9():88-88.</p><p>Published online 7 Feb 2008</p><p>PMCID:PMC2258289.</p><p></p>lemented in the MASDA R-package. Both objectives used for the comparison are estimated for each dataset , normalisation method and configuration of baseline correction and peak detection parameters. For each tuple (, , ), this results in a score (, ) for variance and (, ), (, ), and (, ) for classification performance

Comparison of normalisation methods for surface-enhanced laser desorption and ionisation (SELDI) time-of-flight (TOF) mass spectrometry data-2

<p><b>Copyright information:</b></p><p>Taken from "Comparison of normalisation methods for surface-enhanced laser desorption and ionisation (SELDI) time-of-flight (TOF) mass spectrometry data"</p><p>http://www.biomedcentral.com/1471-2105/9/88</p><p>BMC Bioinformatics 2008;9():88-88.</p><p>Published online 7 Feb 2008</p><p>PMCID:PMC2258289.</p><p></p>in the figure titles. Black p-values indicate the significance with which "black" methods outperform the "red" methods and red p-values the opposite. Lines between elements indicate a pairing of variables for the statistical tests used. The following groupings are used: . global vs. local estimations of normalisation parameters, . non-zero vs. zero offsets and . scaling using the central location vs. the dispersion of data

Comparison of normalisation methods for surface-enhanced laser desorption and ionisation (SELDI) time-of-flight (TOF) mass spectrometry data-3

<p><b>Copyright information:</b></p><p>Taken from "Comparison of normalisation methods for surface-enhanced laser desorption and ionisation (SELDI) time-of-flight (TOF) mass spectrometry data"</p><p>http://www.biomedcentral.com/1471-2105/9/88</p><p>BMC Bioinformatics 2008;9():88-88.</p><p>Published online 7 Feb 2008</p><p>PMCID:PMC2258289.</p><p></p>rmalisation method is represented by a different symbol, global variants being annotated with an additional circle. The axes represent p-values of the statistical analysis described earlier, for classification performance and variance reduction on the x-axis and y-axis, respectively. The point (1, 1) indicates the position of unnormalised data. The region in which a method lies represents its performance for each objective with respect to using no normalisation