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The main statistical approach to select genes differentially expressed between two groups is to apply a t-test, which is subject of criticism in the literature.
The third main statistical approach used a propensity score-adjusted bootstrap resampling method.
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If the underlying network of interactions is sparse, two main statistical approaches are used to retrieve such a structure: covariance modeling approaches with a penalty constraint that encourages sparsity of the network, and nodewise regression approaches with sparse regression methods applied at each node.
Rank-based target identification [ 28] or single-array model [ 29] are the two main statistical approaches that have been employed to analyze ChIP-chip data.
We used three main statistical approaches to compare the evolutionary rate of the studied character systems (Table 4): 1 correlation and ANOVA; 2) comparison of the K-scores against a null distribution; and 3) Mantel test for the correlation of the matrices of patristic distances.
Statisticians call these two main classes of statistical approaches 'supervised' techniques and 'unsupervised' techniques respectively.
There are two main approaches available for feature selection, which includes statistical approach and classification-based approach.
Clustering of data by GP/NP will be taken into account through a multi-level approach, in line with the main statistical analysis.
The main issue with ATE systems developed according to the statistical approach is the 'silence', i.e., the non-identification and extraction of real terms in a text or collection of texts.
Remarkable, the main dynamical properties obtained from a detailed kinetic model in hRBC were recovered by our statistical approach.
The categories used in the present analysis originate from a statistical approach based on well-established symptomatic (PANSS) and functional (QLS) measures combining 2 main dimensions of schizophrenia.
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