Geometric Optimization Methods for the Analysis of Gene Expression Data
The unsupervised methods required to reduce the dimension of the data set and to extract meaningful biological information. This work shows that Independent Component Analysis is a promising approach for the analysis of genome-wide transcriptomic data.
| Рубрика | Математика |
| Предмет | Mathematics |
| Вид | статья |
| Язык | английский |
| Прислал(а) | Ира |
| Дата добавления | 08.02.2013 |
| Размер файла | 257,5 K |
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