Fundamentals of cDNA microarray data analysis
Microarray technology is a powerful approach for genomics research. The multi-step, data-intensive nature of this technology has created an unprecedented informatics and analytical challenge. It is important to understand the crucial steps that can affect the outcome of the analysis. In this review,...
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| Veröffentlicht in: | Trends in genetics 2003-11, Vol.19 (11), p.649-659 |
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| container_title | Trends in genetics |
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| creator | Leung, Yuk Fai Cavalieri, Duccio |
| description | Microarray technology is a powerful approach for genomics research. The multi-step, data-intensive nature of this technology has created an unprecedented informatics and analytical challenge. It is important to understand the crucial steps that can affect the outcome of the analysis. In this review, we provide an overview of the contemporary trend on various main analysis steps in the microarray data analysis process, which includes experimental design, data standardization, image acquisition and analysis, normalization, statistical significance inference, exploratory data analysis, class prediction and pathway analysis, as well as various considerations relevant to their implementation. |
| doi_str_mv | 10.1016/j.tig.2003.09.015 |
| format | Article |
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| language | eng |
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| source | MEDLINE; Elsevier ScienceDirect Journals |
| subjects | Animals Biological and medical sciences Data Interpretation, Statistical DNA microarrays DNA, Complementary Fundamental and applied biological sciences. Psychology Genetics of eukaryotes. Biological and molecular evolution Humans Molecular and cellular biology Oligonucleotide Array Sequence Analysis Sequence Analysis, DNA - methods |
| title | Fundamentals of cDNA microarray data analysis |
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