Spot intensity ratio statistics in two-channel microarray experiments
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Taesung | - |
dc.contributor.author | Kim, Kiwoong | - |
dc.contributor.author | Yi, Sung-Gon | - |
dc.contributor.author | Kim, Jin Hyuk | - |
dc.contributor.author | Lee, Yong-Sung | - |
dc.contributor.author | Lee, Seungyeoun | - |
dc.date.accessioned | 2022-12-21T06:55:11Z | - |
dc.date.available | 2022-12-21T06:55:11Z | - |
dc.date.created | 2022-09-16 | - |
dc.date.issued | 2007-08 | - |
dc.identifier.issn | 0219-7200 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/179751 | - |
dc.description.abstract | In two-channel microarray experiments, the image analysis extracts red and green fluorescence intensities. The ratio of the two fluorescence intensities represents the relative abundance of the corresponding DNA sequence. The subsequent analysis is performed by taking a log-transformation of this ratio. Therefore, the statistical analyses depend on accuracy of the ratios calculated from the image analysis. However, not many studies have been proposed for developing more reliable ratio statistics. In this paper, we consider a new type of log-transformed ratio statistic. We compare the new ratio statistic with the conventional ratio statistic commonly used in two-channel microarray experiments. First, under the specific log-normal distributional assumption, we compare analytically the new statistics with the conventional ratio statistic. Second, we compare those ratio statistics using a two-channel microarray data obtained by hybridizing a mixture of mouse RNA and yeast in vitro transcript (IVT). Both comparisons show that the proposed ratio statistic performs better than the conventional one. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | JBCBB | - |
dc.title | Spot intensity ratio statistics in two-channel microarray experiments | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Jin Hyuk | - |
dc.identifier.doi | 10.1142/S0219720007002928 | - |
dc.identifier.scopusid | 2-s2.0-34548503889 | - |
dc.identifier.bibliographicCitation | Journal of Bioinformatics and Computational Biology, v.5, no.4, pp.865 - 873 | - |
dc.relation.isPartOf | Journal of Bioinformatics and Computational Biology | - |
dc.citation.title | Journal of Bioinformatics and Computational Biology | - |
dc.citation.volume | 5 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 865 | - |
dc.citation.endPage | 873 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | DNA | - |
dc.subject.keywordPlus | RNA | - |
dc.subject.keywordPlus | article | - |
dc.subject.keywordPlus | comparative study | - |
dc.subject.keywordPlus | DNA microarray | - |
dc.subject.keywordPlus | DNA sequence | - |
dc.subject.keywordPlus | fluorescence | - |
dc.subject.keywordPlus | image analysis | - |
dc.subject.keywordPlus | in vitro study | - |
dc.subject.keywordPlus | mouse | - |
dc.subject.keywordPlus | nonhuman | - |
dc.subject.keywordPlus | promoter region | - |
dc.subject.keywordPlus | statistical analysis | - |
dc.subject.keywordPlus | yeast | - |
dc.subject.keywordPlus | Algorithms | - |
dc.subject.keywordPlus | Animals | - |
dc.subject.keywordPlus | Artifacts | - |
dc.subject.keywordPlus | Data Interpretation, Statistical | - |
dc.subject.keywordPlus | Gene Expression Profiling | - |
dc.subject.keywordPlus | Genes, Fungal | - |
dc.subject.keywordPlus | Image Interpretation, Computer-Assisted | - |
dc.subject.keywordPlus | Mice | - |
dc.subject.keywordPlus | Models, Statistical | - |
dc.subject.keywordPlus | Oligonucleotide Array Sequence Analysis | - |
dc.subject.keywordPlus | Pattern Recognition, Automated | - |
dc.subject.keywordPlus | Reproducibility of Results | - |
dc.subject.keywordPlus | RNA | - |
dc.subject.keywordPlus | Sensitivity and Specificity | - |
dc.subject.keywordPlus | Software Validation | - |
dc.subject.keywordAuthor | Log-normal distribution | - |
dc.subject.keywordAuthor | Mean square errors | - |
dc.subject.keywordAuthor | Ratio statistic | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.