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首页> 外文期刊>Computational Biology and Bioinformatics, IEEE/ACM Transactions on >Detecting Differentially Coexpressed Genesfrom Labeled Expression Data: A Brief Review
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Detecting Differentially Coexpressed Genesfrom Labeled Expression Data: A Brief Review

机译：从标记的表达数据中检测差异共表达的基因：简要综述

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摘要

We review methods for capturing differential coexpression, which can be divided into two cases by the size of gene sets: 1) two paired genes and 2) multiple genes. In the first case, two genes are positively and negatively correlated with each other under one and the other conditions, respectively. In the second case, multiple genes are coexpressed and randomly expressed under one and the other conditions, respectively. We summarize a variety of methods for the first and second cases into four and three approaches, respectively. We describe each of these approaches in detail technically, being followed by thorough comparative experiments with both synthetic and real data sets. Our experimental results imply high possibility of improving the efficiency of the current methods, particularly in the case of multiple genes, because of low performance achieved by the best methods which are relatively simple intuitive ones.
机译：我们回顾了捕获差异共表达的方法，根据基因集的大小可将其分为两种情况：1）两个成对的基因和2）多个基因。在第一种情况下，两个基因分别在一个和另一个条件下彼此正相关和负相关。在第二种情况下，多个基因分别在一个和另一个条件下共表达并随机表达。我们将针对第一种和第二种情况的各种方法分别归纳为四种和三种方法。我们将对每种方法进行详细的技术描述，然后再进行综合和真实数据集的全面比较实验。我们的实验结果表明提高当前方法效率的可能性很高，特别是在多个基因的情况下，这是由于相对简单直观的最佳方法所导致的性能低下。

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