Gene expression datasets are large and complex, having many variables and unknown internal structure. We apply independent component analysis (ICA) to derive a less redundant representation of the expression data. The decomposition produces components with minimal statistical dependence and reveals
SOM-based estimation of climatic profiles
β Scribed by Tatiana Tambouratzis
- Book ID
- 102867197
- Publisher
- John Wiley and Sons
- Year
- 2006
- Tongue
- English
- Weight
- 511 KB
- Volume
- 21
- Category
- Article
- ISSN
- 0884-8173
No coin nor oath required. For personal study only.
β¦ Synopsis
This article introduces a self-organizing map-based approach for estimating the climatic profile of locations of interest situated within an area of known morphology. The potential of the proposed methodology is illustrated on a number of locations within the Greek territory, and its superiority over other-customarily used as well as novel-climatic profile estimation methodologies is demonstrated and numerically evaluated. It is envisioned that, after further development, the proposed methodology can be employed for creating accurate climatic maps of areas of known morphology.
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