Figure 5From: Comparison of normalisation methods for surface-enhanced laser desorption and ionisation (SELDI) time-of-flight (TOF) mass spectrometry dataSchematic representation of the computational workflow. Schematic representation of the computational workflow used for the comparison. Baseline correction, normalisation and peak detection are implemented in the MASDA R-package. Both objectives used for the comparison are estimated for each dataset d, normalisation method n and configuration c of baseline correction and peak detection parameters. For each tuple (d, n, c), this results in a score S CV ( d ) MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGacaGaaiaabeqaaeqabiWaaaGcbaGaee4uam1aa0baaSqaaiabboeadjabbAfawbqaaiabcIcaOiabdsgaKjabcMcaPaaaaaa@3270@ (n, c) for variance and S GT ( d ) MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGacaGaaiaabeqaaeqabiWaaaGcbaGaee4uam1aa0baaSqaaiabbEeahjabbsfaubqaaiabcIcaOiabdsgaKjabcMcaPaaaaaa@3274@ (n, c), S SVM ( d ) MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGacaGaaiaabeqaaeqabiWaaaGcbaGaee4uam1aa0baaSqaaiabbofatjabbAfawjabb2eanbqaaiabcIcaOiabdsgaKjabcMcaPaaaaaa@33B1@ (n, c), and S CART ( d ) MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGacaGaaiaabeqaaeqabiWaaaGcbaGaee4uam1aa0baaSqaaiabboeadjabbgeabjabbkfasjabbsfaubqaaiabcIcaOiabdsgaKjabcMcaPaaaaaa@34A0@ (n, c) for classification performance.Back to article page