Multi-knockout genetic network analysis: the Rad6 example.

Alon Kaufman, Martin Kupiec, Eytan Ruppin
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Abstract

A novel and rigorous Multi-perturbation Shapley Value Analysis (MSA) method has been recently presented [12]. The method addresses the challenge of defining and calculating the functional causal contributions of elements of a biological system. This paper presents the first study applying MSA to the analysis of gene knockout data. The MSA identifies the importance of genes in the Rad6 DNA repair pathway of the yeast S. cerevisiae, quantifying their contributions and characterizing their functional interactions. Incorporating additional biological knowledge, a new functional description of the Rad6 pathway is provided, predicting the existence of additional DNA polymerase and RFC-like complexes. The MSA is the first method for rigorously analyzing multi-knockout experiments, which are likely to soon become a standard and necessary tool for analyzing complex biological systems.

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多敲除基因网络分析:以Rad6为例。
最近提出了一种新的严格的多摄动Shapley值分析(MSA)方法[12]。该方法解决了定义和计算生物系统中各元素的功能因果贡献的挑战。本文首次将MSA应用于基因敲除数据的分析。MSA鉴定了酵母酵母Rad6 DNA修复途径中基因的重要性,量化了它们的贡献并表征了它们的功能相互作用。结合额外的生物学知识,提供了Rad6途径的新功能描述,预测了额外的DNA聚合酶和rfc样复合物的存在。MSA是第一个严格分析多重基因敲除实验的方法,可能很快成为分析复杂生物系统的标准和必要工具。
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