Sentence examples for biological data that are from inspiring English sources

They have dramatically revolutionized the way in which we approach drug discovery, leading to the explosive growth in the amount of chemical and biological data that are typically multidimensional in structure.

Even so, findings from this study do not allow for a reference method to be selected because results would need to be checked against biological data that are currently unavailable.

The sheer amounts of biological data that are generated in recent years have driven the development of network analysis tools to facilitate the interpretation and representation of these data.

In the post-genomic era, a great number of biological data that are available via the Internet or obtained through high-throughput experiments are significantly inhibiting researchers from making sense of the data and communicating them to others in a concise and meaningful way (Evanko, 2010).

Hence, a prioritization approach such as ToxPi, when implemented in the broadest sense, incorporates both objective chemical and biological data that are amenable to external validation, and other considerations such as use and exposure that can be validated only in terms of a predefined subjective framework.

The theoretical analysis shows that the generation of such a network from 6 random state transitions and random selection of 3 regulators of every gene is extremely low which in turns suggests that there is structure in the biological data that is exploited by our inference algorithm to arrive at a biologically plausible BN.

With reasonable care, any experiment involving microarrays is capable of obtaining biological data that is not masked by technical variation thereby providing a true representation of the transcriptome under a particular set of conditions.

Disease gene association is one of the forms of biological data that is largely used for inferring associations between diseases.

However, the significant reduction in blood cholesterol seen in the LA intervention group provides biological data that is broadly consistent with the longitudinal diet data.

However, a benefit is that network representation gives an opportunity to reduce the complexity of biological data that is required for performing computational analyses.

It provides a way of clustering biological data that is considerably different from other methods, due to its focus on analysing the space of functions that map object features to their relations, instead of the feature space itself.