Analysis of Proteomics data: Block K-mean Alignment
Keywords
Statistical learning
Code:
41/2013
Title:
Analysis of Proteomics data: Block K-mean Alignment
Date:
Friday 4th October 2013
Author(s):
Bernardi, M.; Sangalli, L.M.; Secchi, P.; Vantini, S.
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Abstract:
We analyze the proteomics data introducing a block k-mean alignment procedure. This technique is able to jointly align and cluster the data, accounting appropriately for the block structure of these data, that includes measurement repetitions for each patient. An analysis of area-under-peaks, following the alignment, separates patients who respond and those who do not respond to treatment.
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Mara Bernardi, Laura M. Sangalli, Piercesare Secchi, Simone Vantini (2014), Analysis of Proteomics data: Block K-mean Alignment, Electronic Journal of Statistics, Special Section on "Statistics of Time Warpings and Phase Variations", Vol. 8, No. 2, 1714-1723.
Mara Bernardi, Laura M. Sangalli, Piercesare Secchi, Simone Vantini (2014), Analysis of Proteomics data: Block K-mean Alignment, Electronic Journal of Statistics, Special Section on "Statistics of Time Warpings and Phase Variations", Vol. 8, No. 2, 1714-1723.