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Such metaspace representation approaches, which transform data into a homogeneous space enabling direct combination of modalities, are embedding projections and kernel space projections [ 6].
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Cluster analysis is a statistical technique that sorts data into relatively homogeneous groups possessing common characteristics.
Using cluster analysis as a preliminary task can group the data into different homogeneous segments.
Clustering is the problem of partitioning data into a finite number k of homogeneous and separate groups, called clusters.
RP uses a series of regressions to identify covariates (in this case SNPs) which best splits the data into distinct homogeneous strata (e.g. those at high risk of asthma versus those at low risk of asthma).
Techniques for combining odds ratios from several studies were developed primarily for case control studies (particularly cancer trials) to overcome problems due to possible confounding factors (such as age) by stratifying the data into internally homogeneous strata, then testing the hypothesis that the odds ratio remains constant across the strata.
All single-mutant data corresponded to a homogeneous three-dimensional distribution of spins (homogeneous exponential decay).
Then, the RTLoader converts data coming from different kinds of instruments and with different source formats into a homogeneous format and then stores them in an RTDB.
It is a repetitive process enabling the user to divide the data into homogeneous subsets that can be visually examined, compared, and refined.
These experimental data therefore confirm the prediction if the reference model that spatial anisotropies during the initiation of mitochondrial permeabilisation are efficiently translated into a homogeneous response of effector caspase activation throughout the entire cytosol.
Subgroup analysis is also used to identify other sources of variability by stratifying data into relatively more homogeneous strata [137].
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