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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...
Autores principales: | , |
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Formato: | Texto |
Lenguaje: | English |
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Biomedical Informatics Publishing Group
2007
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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. |
format | Text |
id | pubmed-1896057 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Biomedical Informatics Publishing Group |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT leeeunkyung exploratorymethodsforcheckingqualityofmicroarraydata AT parktaesung exploratorymethodsforcheckingqualityofmicroarraydata |