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To assess the optimal geometric scale for the PPI network, we propose a novel algorithm based the motif "thinking globally and fit locally" in machine learning community [36], [40].
A different, interesting principle, summarized in the phrase: 'think globally and fit locally', was introduced with LLE.
Also shown in Figure 7 is a moving linear regression line (LOWESS fit, locally weighted scatterplot smoothing [ 49]), which indicates that expression values increase with survival time.
However, despite this low model fit, locally significant association at the 1% level was demonstrated for almost the same external factors as those already identified by stratification.
If this theory is adopted in the framework of our study—applied to the sample representation in the hidden feature space it offers a valid theoretical support for approaches such as 'think globally and fit locally' and or 'MC'MC
We speculate that these similarities between MCE and LLE results are evidence of closeness as far as small datasets are concerned between the principles of 'MC' and 'think globally and fit locally' that respectively underlay MCE and LLE.
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In the style of "Thinking Globally and Fitting Locally", we develop Locally Embedded Analysis (LEA) based solutions for visual data clustering and retrieval.
We propose a method to smooth out the discontinuities that are detected along a trajectory, based on the definition of a continuous function that fits locally the computed potential, and is used to integrate the trajectory across the discontinuity.
The binding curves were fitted locally and the equilibrium dissociation constants (KD) were calculated from mean values of the obtained rate constants.
Kinetic rate constants were approximated globally, maximal responses were fitted locally and bulk response was set to zero.
Individual drifts of the resonance signal were fitted locally, and χ2 values of 0.2% to 1.0% of the maximum resonance value were considered good fits.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com