Titlebook: Statistical Analysis in Proteomics; Klaus Jung Book 2016 Springer Science+Business Media New York 2016 Data analysis.High-throughput data.

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Outlier Detection for Mass Spectrometric Datare often obtained, some of which may be extreme. Identifying the causes of outlying observations is important in the analysis of replicated MS data because elaborate pre-processing is essential in order to obtain successful analyses with reliable results, and because manual outlier detection is a ti

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A Nonparametric Bayesian Model for Nested Clustering set of experimental units. The proposed model is motivated by the analysis of protein activation data, where we cluster proteins such that all proteins in one cluster give rise to the same clustering of patients. That is, we define clusters of proteins by the way that patients group with respect to

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Classification of Samples with Order-Restricted Discriminant Rulesover protein profiles specific to each pathological state. One of the questions where proteomics is giving useful practical results is that of classifying patients into one of the possible severity levels of an illness, based on some features measured on the patient. This classification is usually m

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Accolade