A spatiotemporal mining framework is a novel tool for the analysis of marine association patterns using multiple remote sensing images.
The results of our experiments demonstrate the importance of seamless, robust fusion for realistic simulation of water flow patterns using multiple high-resolution DEMs.
Here, we demonstrate the effect of temperature on RNA editing patterns using multiple known target RNAs.
In this study we report on genome-wide methylation patterns generated using multiple peripheral and internal tissues from two independent sets of donors using 450k methylation chips.
Instead of using only one pattern as the classification rule, we propose using multiple patterns as the discriminator.
In this paper, we describe techniques for designing high-performance pattern classification systems using multiple hierarchical overlapped self-organising maps (HOSOM) (Suganthan, Proceedings of the International Joint Conference on Neural Networks, WCCI'98, Alaska, 1998).
For example, Basist et al. (1994) studied statistical relationship between topography and precipitation pattern, in Hawaii, using multiple regression and found that the model with R2 value of 0.31 (slope orientation independent variable) as statistically significant and best predictor of the annual precipitation pattern.
Moreover, extending the algorithm to identify local temporal patterns of expression using multiple datasets should enable the discovery of conserved expression patterns and potentially help in the identification of common regulatory modules within and across-species.
Start-up strategies for such initial patterns are established using multiple feeds.
Two dietary patterns were identified using multiple criteria: the diagram of Eigenvalues, the Scree plot, the interpretability of the factors, and the percentage of variance explained by the factors.
