Sentence examples for visualization literature from inspiring English sources

With respect to this classification, we review glyph-based techniques described in the medical visualization literature.

Second, to be able to validate the results of a visualization, literature information on structure-activity relationships of the target of a data set must be available.

Connected component analysis of the thresholded EDT has been extensively studied in previous image processing and scientific visualization literature [ 31– 31].

This software allows for the display of a metabolic network that can be closely coupled with the other data displays and analyses; e.g., clustering, visualization, literature text processing, and data from high-throughput experiments (transcriptomics, proteomics and metabolomics) can be displayed and modeled in the context of the network graphs.

Several innovative extensions that seek to improve interaction and cognition with parallel coordinates have been described in the visualization research literature.

For additional information provided by the pathway databases, e.g., pathway visualization and literature references, a direct link is provided to the original entry of the reaction in the pathway database.

Koshman (2006) reviewed the literature on visualization systems used for information retrieval.

However, the methods proposed to date for their extraction in the visualization and image analysis literature are computationally expensive and typically applied in an offline setting.

Using enhanced data visualization techniques to display literature review data can reveal historical citation patterns and help communicate the results quickly and intuitively to a wide audience.

We performed four separate types of pathway analysis using gene set enrichment analysis (GSEA), the Database for Annotation, Visualization and Integrated Discovery (DAVID), Literature Lab Analysis (LLA), and Ingenuity Pathway Analysis (IPA).

Based on several multivariate statistical tools reported in the literature for visualization and classification of high dimensional data [5], [9], [17] [19], [29], we use the most well-known methods such as MGD, MDA, PCA, and ANN.