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Exploratory Methods for Checking Quality of Microarray Data

In microarray experiments many undesirable systematic variations are commonly observed. Often investigators analyzing microarray data need to make subjective decisions about the quality of the experiment, by examining its chip image and a simple scatter plot. Thus, a more rigorous but simple method...

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Detalles Bibliográficos
Autores principales: Lee, Eun-Kyung, Park, Taesung
Formato: Texto
Lenguaje:English
Publicado: Biomedical Informatics Publishing Group 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1896057/
https://www.ncbi.nlm.nih.gov/pubmed/17597933
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author Lee, Eun-Kyung
Park, Taesung
author_facet Lee, Eun-Kyung
Park, Taesung
author_sort Lee, Eun-Kyung
collection PubMed
description In microarray experiments many undesirable systematic variations are commonly observed. Often investigators analyzing microarray data need to make subjective decisions about the quality of the experiment, by examining its chip image and a simple scatter plot. Thus, a more rigorous but simple method is desirable to determine the quality of microarray data. We propose two exploratory methods to investigate the quality of microarray experiments with replicated chips. The first method is based on correlations among chips and the second on the actual intensity values for each gene. The proposed methods are illustrated using a real microarray data set. The methods provide an initial estimation for determining the quality of microarray experiments.
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spelling pubmed-18960572007-06-27 Exploratory Methods for Checking Quality of Microarray Data Lee, Eun-Kyung Park, Taesung Bioinformation Prediction Model In microarray experiments many undesirable systematic variations are commonly observed. Often investigators analyzing microarray data need to make subjective decisions about the quality of the experiment, by examining its chip image and a simple scatter plot. Thus, a more rigorous but simple method is desirable to determine the quality of microarray data. We propose two exploratory methods to investigate the quality of microarray experiments with replicated chips. The first method is based on correlations among chips and the second on the actual intensity values for each gene. The proposed methods are illustrated using a real microarray data set. The methods provide an initial estimation for determining the quality of microarray experiments. Biomedical Informatics Publishing Group 2007-04-10 /pmc/articles/PMC1896057/ /pubmed/17597933 Text en © 2006 Biomedical Informatics Publishing Group This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.
spellingShingle Prediction Model
Lee, Eun-Kyung
Park, Taesung
Exploratory Methods for Checking Quality of Microarray Data
title Exploratory Methods for Checking Quality of Microarray Data
title_full Exploratory Methods for Checking Quality of Microarray Data
title_fullStr Exploratory Methods for Checking Quality of Microarray Data
title_full_unstemmed Exploratory Methods for Checking Quality of Microarray Data
title_short Exploratory Methods for Checking Quality of Microarray Data
title_sort exploratory methods for checking quality of microarray data
topic Prediction Model
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1896057/
https://www.ncbi.nlm.nih.gov/pubmed/17597933
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