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Non-disjoint Clustered Representation for Distributions over a Population of Cells

机译:细胞群中分布的不相交聚类表示

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We consider a large homogenous population of cells, where each cell is governed by the same complex biological pathway. A good modeling of the inherent variability of biological species is of crucial importance to the understanding of how the population evolves. In this work, we handle this variability by considering multivariate distributions, where each species is a random variable. Usually, the number of species in a pathway -and thus the number of variables- is high. This appealing approach thus quickly faces the curse of dimensionality: representing exactly the distribution of a large number of variables is intractable.
机译:我们考虑大量的同质细胞群体,其中每个细胞都由相同的复杂生物途径控制。对生物物种固有变异性的良好建模对于理解种群如何进化至关重要。在这项工作中,我们通过考虑多元分布来处理这种可变性,其中每个物种都是随机变量。通常,路径中的物种数量(因此变量数量)很高。因此,这种吸引人的方法很快会面临维度的诅咒:精确表示大量变量的分布是很难处理的。

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