2023年12月23日 · Reconstruction of Accurate Cellular Networks（ARACNE）算法于2006年发表在BMC Bioinformatics杂志,其升级版ARACNE-AP于2016年发表在Bioinformatics杂志，具体信息可以查询（https://github.com/califano-lab/ARACNe-AP）

ARACNe-AP (Algorithm for the Reconstruction of Accurate Cellular Networks with Adaptive Partitioning) is a complete overhaul of the first ARACNe implementation, originally published by Margolin and colleagues in BMC Bioinformatics in 2006.

Arachne (/ əˈrækniː /; from Ancient Greek: Ἀράχνη, romanized: Arákhnē, lit. 'spider', cognate with Latin araneus) [1] is the protagonist of a tale in Greek mythology known primarily from the version told by the Roman poet Ovid (43 BCE–17 CE).

2006年3月20日 · Here we present ARACNE, a novel algorithm, using microarray expression profiles, specifically designed to scale up to the complexity of regulatory networks in mammalian cells, yet general enough to address a wider range of network deconvolution problems.

ARACNe (Algorithm for the Reconstruction of Accurate Cellular Networks) is a novel algorithm, using microarray expression profiles, that is specifically designed to scale up to the complexity of regulatory networks in mammalian cells, yet general enough to address a wider range of network deconvolution problems.

阿拉克涅 （Arachne）是罗马文学中的人物。 她是一个有着纺织技术的女人，曾向密涅瓦挑战织布技巧，因落败而自杀，密涅瓦为了救她，将其尸体救醒为蜘蛛，上半身为女人，下半身为蜘蛛，像蜘蛛一样长有八只脚，生活在一张巨大的 蜘蛛网 内不停地织布。 阿拉克涅 （Arachne）是罗马文学中的人物。 她精通织布，曾向密涅瓦挑战织布技巧，因落败而自杀，密涅瓦将其灵魂转生为蜘蛛，上半身为女人，下半身为蜘蛛，像蜘蛛一样长有八只脚，生活在一张巨大的 蜘蛛网 内不停 …

ARACNe3 is an implementation of ARACNe which presents computational improvements and theoretical changes to the recent ARACNe-AP implementation. Given a list of regulators and a gene expression profile, ARACNe3 is used to infer irreducibly dependent regulatory interactions and output a Gene Regulatory Network (GRN).

2025年1月5日 · ARACNe-AP算法利用互信息（Mutual Information, MI）这一统计量来衡量变量间的相关性，它是一种无参数的方法，不需要任何关于数据分布的假设。 在基因调控网络的重建中，互信息能够有效捕捉基因表达值之间的依赖更多下载资源、学习资料请访问CSDN文库频道

本文描述了bulk RNA-seq分析流程中基因调控网络子模块，该模块可以得到转录因子与靶基因之间的调控网络关系。 该模块需要输入两方面的信息，利用基因表达量和转录因子列表来完成调控网络分析，表达量可用来自于DataSummary模块生成的raw.RData文件，转录因子列表需要自行提供，如下图所示。 group. 1302003-C 1302003-N 1436156-C 1436156-N. 首先计算当前样本量下MI阈值。 进行100次网络构建，每次采用不同的起始参数。 合并100次bootstrap的结果。 …

2004年10月28日 · Here we present ARACNE, a novel algorithm, using microarray expression profiles, specifically designed to scale up to the complexity of regulatory networks in mammalian cells, yet general enough to address a wider range of network deconvolution problems.