Large amounts of data on quantitative gene expression are generated by procedures such as 2-DE analysis of proteins or cDNA microarrays. Quantitative molecular variation may potentially be used for the development of methods for the classification of tumors. We used here the statistical concepts of
Classification of human ovarian tumors using multivariate data analysis of polypeptide expression patterns
β Scribed by Alaiya, Ayodele; Franzen, Bo; Hagman, Anders; Linder, Stig; Auer, Gert
- Book ID
- 109830453
- Publisher
- Nature Publishing Group
- Year
- 2001
- Tongue
- English
- Weight
- 28 KB
- Volume
- 27
- Category
- Article
- ISSN
- 1061-4036
- DOI
- 10.1038/87176
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