Skip to main content
Figure 5 | BMC Bioinformatics

Figure 5

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

Figure 5

Schematic 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