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In the analysis we sought to determine whether there exists a structure in a low-dimensional representation of the data, specifically data structural triangularity, and if it does, in how many dimensions this structure is preserved (for eigenvalue plot see Supplementary Figure 6).
This paper illustrates how, in the absence of specific usage data, structural and other data may be used to provide some estimates of daily work rates.
Chemogenomics attempts to combine genomic data, structural biological data, classical dendrograms, and selectivity data to explore, define, and classify the medicinally relevant kinase space.
The experimental datasets available for the series of materials can be divided into: composition data, structural data (X-ray diffraction patterns), and electrochemical characterization data (electrochemical impedance spectra).
We will illustrate how through the combination of high resolution images and segmented 3D tomographic data, structural features of the supported phase can be revealed which are normally not accessible through conventional imaging.
Such an approach has successfully engaged students to learn design and implementation principles using primitive data, finite compound data, structural recursion for compound data of arbitrary size, and abstraction.
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Together with genomic sequence data, these structural data have sharpened our understanding of RNA structure and folding.
Extended Data 2 Structural and electrophysiological analyses of human α1β3γ2L GABAA receptor in complex with PTX and GABA.
Rijsdijk, F. V. & Sham, P. C. Analytic approaches to twin data using structural equation models.
Our lab is building tools for the optimization and analysis of neuroimaging data, encompassing structural, functional, and diffusion MRI.
Crystallographic data (excluding structural factors) have been deposited at the Cambridge Crystallographic Data Centre (CCDC).
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