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Based on simple hierarchical ordered planner (SHOP), SHOP-h implemented with Python is called Pyhop-h.
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Instead, it is based on simple mathematics.
Based on simple simplifications of Eqs.
It is based on simple counting mechanism.
Here, we discuss a simple method based on hierarchical clustering to identify bimodally expressed transcripts, which may be used with either microarray or RNAseq data.
In this study we suggest a simple screening approach based on hierarchical clustering to identify bimodally expressed transcripts from microarray expression data that can be used alongside more complex approaches.
We present a nonparametric Bayesian model of tree structures based on the hierarchical Dirichlet process (HDP).
A comprehensive database set is presented which is based on a hierarchical scheme.
We present a nonparametric Bayesian generalization of the PCFG based on the hierarchical Dirichlet process (HDP).
The controller is based on the hierarchical control strategy.
The proposed taxonomy is based on three hierarchical parallel models.
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