New laboratory technologies such as DNA microarrays have made it possible to measure the expression levels of thousands of genes simultaneously in a particular cell or tissue. The challenge for genetic epidemiologists will be to develop statistical and computational methods that are able to identify
β¦ LIBER β¦
Microarray Analysis of Autoimmune Diseases by Machine Learning Procedures
β Scribed by Armananzas, R.; Calvo, B.; Inza, I.; Lopez-Hoyos, M.; Martinez-Taboada, V.; Ucar, E.; Bernales, I.; Fullaondo, A.; Larranaga, P.; Zubiaga, A.M.
- Book ID
- 114643669
- Publisher
- IEEE
- Year
- 2009
- Tongue
- English
- Weight
- 317 KB
- Volume
- 13
- Category
- Article
- ISSN
- 1089-7771
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## Abstract Analysis of cellβspecific gene expression patterns using microarrays can reveal genes that are differentially expressed in diseased and normal tissue, as well as identify genes associated with specialized cellular functions. However, the cellular heterogeneity of the tissues precludes t
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