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An assessment of gene expression similarity among tissues using oligonucleotide microarray data
https://repo.qst.go.jp/records/43582
https://repo.qst.go.jp/records/43582fb54f37e-4400-4319-9f40-2b08b9faf576
Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2005-01-04 | |||||
タイトル | ||||||
タイトル | An assessment of gene expression similarity among tissues using oligonucleotide microarray data | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
アクセス権 | ||||||
アクセス権 | metadata only access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
著者 |
Kadota, Koji
× Kadota, Koji× John, Rodrigue Joseph× Saito, Toshiyuki× Araki, Ryoko× Abe, Masumi× 門田 幸二× Joseph John Rodrigue× 齋藤 俊行× 荒木 良子× 安倍 真澄 |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | There are several strategies for estimating the similarity between tissues using gene expression data. However, similarity scores based on global expression data tend to yield unintuitive results. It is better to prepare multiple similarity scores based on different viewpoints. Here we present a new similarity score based on the degree of sharing genes expressed more in some tissues than in others. The selective expression information was calculated by applying a computational approach (called MAICE) to publicly available oligonucleotide microarray data. Currently, MAICE is the only method which can identify tissues with high expression without any pre-defined threshold. The score is calculated by counting genes with high expression in at least two tissues. We found that for all tissues except the testis there are other similar tissues, and that similar tissues contain more common cellular components than dissimilar ones. This is consistent with the staggering number of cell-specific transcripts in the testis. | |||||
書誌情報 |
Journal of Genome Science and Technology 巻 3, p. 1-7, 発行日 2004 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1537-3053 |