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.
При низкой оригинальности работы "Geometric Optimization Methods for the Analysis of Gene Expression Data", Вы можете повысить уникальность этой работы до 80-100%
