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DNA Microarray Analysis of Complex Biologic Processes (in J Am Soc Nephrol 12)
Bibliografi
Author:
Kurella, Manjula
;
Hsiao, Li-Li
;
Yoshida, Takumi
;
Randall, Jeffrey D.
;
Chow, Gary
;
Sarang, Satinder S.
;
Jensen, Roderick V.
;
Gullans, Steven R.
Topik:
cDNA Microarray
Bahasa:
(EN )
Edisi:
2001
Penerbit:
American Society of Nephrology
Tempat Terbit:
Washington, DC
Tahun Terbit:
2001
Jenis:
Article - diterbitkan di jurnal ilmiah internasional
Fulltext:
1072.pdf
(278.61KB;
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Abstract
DNA microarrays, or gene chips, allow surveys of gene expression, (i.e., mRNA expression) in a highly parallel and comprehensive manner. The pattern of gene expression produced, known as the expression profile, depicts the subset of gene transcripts expressed in a cell or tissue. At its most fundamental level, the expression profile can address qualita-tively which genes are expressed in disease states. However, with the aid of bioinformatics tools such as cluster analysis, self-organizing maps, and principle component analysis, more DNA microarrays, or gene chips, allow surveys of gene expression, (i.e., mRNA expression) in a highly parallel and comprehensive manner. The pattern of gene expression produced, known as the expression profile, depicts the subset of gene transcripts expressed in a cell or tissue. At its most fundamental level, the expression profile can address qualita-tively which genes are expressed in disease states. However, with the aid of bioinformatics tools such as cluster analysis, self-organizing maps, and principle component analysis, more
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