Sentence examples for many biomedical data from inspiring English sources

While we focus on a specific problem (vaccination analysis), the proposed workflow is generalizable to many biomedical data analysis questions involving labeled data.

Finally, comparative analysis between gene lists is common in many biomedical data analyses, but existing web tools often present comparisons one list at a time.

In addition, many biomedical resources, such as clinical data, may never be directly available on the Web.

Albeit there are many diverse types of open-access biomedical data archives, we illustrate several examples of popular services that support open collaborative science to maximize the value of their respective data, infrastructure and resources.

In many respects, the two sides of biomedical data growth have yet to converge; however, the biomedical infrastructure for big data analysis lags behind the applications.

Funding agencies have been very supportive to the creation and adoption of standards for biomedical data, by funding many of the standards that are existing.

Enhancement of multiple-scale elongated structures in noisy image data is relevant for many biomedical applications but commonly used PDE-based enhancement techniques often fail at crossings in an image.

For many biomedical researchers determining the biological significance of the data has been the greatest challenge and in the last several years more emphasis has been placed on this aspect of the analysis process.

Time series data involving counts are frequently encountered in many biomedical and public health applications.

Consequently, a TMA specification in XML would provide another level of biomedical data integration in which array data of many different types can be combined and analyzed.

Data mining methods described here were recently used in many biomedical publications [ 19, 23– 26].