Statistical Evaluation of Methods for the Analysis of Dynamic Protein Expression Data From a Tumor Study

In this article, we analyze time dependent protein expression data obtained from a proteome study of a neuroblastoma cell line. Neuroblastoma are common solid tumors which occur in early childhood. The expression data was obtained by difference gel electrophoresis (DIGE). It is known that the clini...

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Main Authors: Klaus Jung, Ali Gannoun, Barbara Sitek, Ognjan Apostolov, Alexander Schramm, Helmut E. Meyer, Kai Stühler, Wolfgang Urfer
Format: Article
Language:English
Published: Instituto Nacional de Estatística | Statistics Portugal 2006-03-01
Series:Revstat Statistical Journal
Subjects:
Online Access:https://revstat.ine.pt/index.php/REVSTAT/article/view/27
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author Klaus Jung
Ali Gannoun
Barbara Sitek
Ognjan Apostolov
Alexander Schramm
Helmut E. Meyer
Kai Stühler
Wolfgang Urfer
author_facet Klaus Jung
Ali Gannoun
Barbara Sitek
Ognjan Apostolov
Alexander Schramm
Helmut E. Meyer
Kai Stühler
Wolfgang Urfer
author_sort Klaus Jung
collection DOAJ
description In this article, we analyze time dependent protein expression data obtained from a proteome study of a neuroblastoma cell line. Neuroblastoma are common solid tumors which occur in early childhood. The expression data was obtained by difference gel electrophoresis (DIGE). It is known that the clinical outcome of neuroblastoma depends on the activation of different neurotrophin receptors by their ligands. Here, we are looking for proteome changes resulting from the activation of Tyrosine Kinase (TrkA) receptors by their ligand NGF (nerve growth factor). Before analyzing the data by longitudinal data analysis we do data preprocessing and apply a method for the imputation of missing values.
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spelling doaj.art-13a6befd07044f74934e3e2bd9d7db6a2022-12-22T01:28:34ZengInstituto Nacional de Estatística | Statistics PortugalRevstat Statistical Journal1645-67262183-03712006-03-014110.57805/revstat.v4i1.27Statistical Evaluation of Methods for the Analysis of Dynamic Protein Expression Data From a Tumor StudyKlaus Jung 0Ali Gannoun 1Barbara Sitek 2Ognjan Apostolov 3Alexander Schramm Helmut E. Meyer 4Kai Stühler 5Wolfgang Urfer 6University of DortmundUniversité MontpellierRuhr-University BochumRuhr-University BochumRuhr-University BochumRuhr-University BochumUniversity of Dortmund In this article, we analyze time dependent protein expression data obtained from a proteome study of a neuroblastoma cell line. Neuroblastoma are common solid tumors which occur in early childhood. The expression data was obtained by difference gel electrophoresis (DIGE). It is known that the clinical outcome of neuroblastoma depends on the activation of different neurotrophin receptors by their ligands. Here, we are looking for proteome changes resulting from the activation of Tyrosine Kinase (TrkA) receptors by their ligand NGF (nerve growth factor). Before analyzing the data by longitudinal data analysis we do data preprocessing and apply a method for the imputation of missing values. https://revstat.ine.pt/index.php/REVSTAT/article/view/27protein expression dataproteomedata preprocessingmissing values imputationlongitudinal data analysisneuroblastoma
spellingShingle Klaus Jung
Ali Gannoun
Barbara Sitek
Ognjan Apostolov
Alexander Schramm
Helmut E. Meyer
Kai Stühler
Wolfgang Urfer
Statistical Evaluation of Methods for the Analysis of Dynamic Protein Expression Data From a Tumor Study
Revstat Statistical Journal
protein expression data
proteome
data preprocessing
missing values imputation
longitudinal data analysis
neuroblastoma
title Statistical Evaluation of Methods for the Analysis of Dynamic Protein Expression Data From a Tumor Study
title_full Statistical Evaluation of Methods for the Analysis of Dynamic Protein Expression Data From a Tumor Study
title_fullStr Statistical Evaluation of Methods for the Analysis of Dynamic Protein Expression Data From a Tumor Study
title_full_unstemmed Statistical Evaluation of Methods for the Analysis of Dynamic Protein Expression Data From a Tumor Study
title_short Statistical Evaluation of Methods for the Analysis of Dynamic Protein Expression Data From a Tumor Study
title_sort statistical evaluation of methods for the analysis of dynamic protein expression data from a tumor study
topic protein expression data
proteome
data preprocessing
missing values imputation
longitudinal data analysis
neuroblastoma
url https://revstat.ine.pt/index.php/REVSTAT/article/view/27
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