Sentence examples for biological data analysis and from inspiring English sources

His research interests include systems biology, bioimage informatics, high-throughput biological data analysis, and biological database integration.

We provide a few guidelines for the development of future software that will function as part of an interoperable community of software tools for biological data analysis and visualization.

Our perspectives are that in the future more and more computer scientists will help biologists build a light-weighted programming environment for biological data analysis and collaborate with biologists to conduct actual life science research.

Question B was designed by the PIs to focus on biological data analysis and, as in our previous study, was presented in isomorphic form (identical form with different contexts and data pre- and postimplementation).

If biologists can use the existing powerful desktop application as data authoring tool and can publish their results with these emerging web technologies for sharing, it simplifies their workflow for large and complex biological data analysis and visualization.

Despite difficulties in estimating statistical significance, appropriate application of these methods, including correctly assuming the correlations between variables, provides an approximate interpretation of heterogeneous data (e.g., metabolites and genes), which can be helpful for biological data analysis and may yield clinically relevant results [ 32– 32].

These traits were combined and analysed using biological data analysis software and visualized in the form of a minimum spanning tree (MST).

For example, its recent applications include astronomical imaging, remote sensing, medical imaging, biological data analysis, image and speech signal processing, etc. [1 3].

The attempt here is to see if one can build on top of this limitation a virtual screening and biological data analysis platform with generic purpose.

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Kernel CCA has been used for several applications including text retrieval and biological data analysis [ 15, 37]. Figure 1 illustrates the basic scheme of the kernel CCA for our integrated analysis of DNA sequence motif and gene expression data.