Sentence examples for for computational methodologies from inspiring English sources

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The increasing availability of large metabolomics datasets enhances the need for computational methodologies that can organize the data in a way that can lead to the inference of meaningful relationships.

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"We are delighted that the NIH recognizes the need for computational methodology," enthused Harmon last year after Neomorphics won a small business grant.

We strongly believe that the development of computational methodologies for systems biology is still in its infancy and much research work remains to be done in this area.

We strongly believe that the joint efforts of societies, funding agencies, research institutes, and universities will further push the development of computational methodologies for systems biology and the practical applications in biology, medicine, drug discovery, and engineering in future.

During the last two decades a number of computational methodologies have been developed for the prediction of immunogenicity.

The rapid increase in the emergence of novel chemical substances presents a substantial demands for more sophisticated computational methodologies for drug discovery.

In this chapter, recent advances in the experimental and computational methodologies for the bone tissue engineering scaffolds design are presented.

Under the supervision of Joaquín Dopazo, she worked on computational methodologies for microarray gene expression analysis, integrating databases and applying statistical tools to inferring which genes were most functionally relevant.

Despite numerous challenges in applying computational methodologies for QSP and mechanism-based PK/PD models to biological, physiological, and pharmacological data, bridging these disciplines has the potential to enhance our understanding of complex disease systems such as BC.

Furthermore, the integration of sequence data with a variety of alternative information is providing valuable and fundamentally new insight into biological processes, as well as an array of new computational methodologies for the analysis of biological data.

Another important requirement is to develop computational methodologies for facilitating the interpretation of large-scale experiments and the prediction of clinical outcomes.

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