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1. 发明申请

US20070174019A1 Network-based approaches to identifying significant molecules based on high-throughput data analysis 审中-公开
标题翻译：基于网络的基于高通量数据分析识别重要分子的方法
公开(公告)号：US20070174019A1
公开(公告)日：2007-07-26
申请号：US11264259
申请日：2005-10-31
申请人： Aditya Vailaya , Allan Kuchinsky , Euan Ashley , Jennifer King , Rossella Ferrara , Thomas Quertermous
发明人： Aditya Vailaya , Allan Kuchinsky , Euan Ashley , Jennifer King , Rossella Ferrara , Thomas Quertermous
IPC分类号： G06F17/18
CPC分类号： G16B5/00 , G16B20/00
摘要： Methods, systems and computer readable media for network-based identification of significant molecules, for which at least one biological network is provided to include significant molecules to be identified. A node in the network is identified. A member-specific sub-network containing nodes connected to the identified node is identified for L levels of nearest neighbors, wherein L is a positive integer, and a connectivity score is calculated for the molecule represented by the identified node based on significance scores of each node contained in the member-specific sub-network. These steps are repeated for other nodes in the network. Methods, systems and computer readable media for network-based identification of significant molecules, for which at least one biological network is provided to include significant molecules to be identified, a data set including data values characterizing molecules experimented on is provided, and an interesting list of molecules is provided as a subset of the molecules from the dataset, the interesting list including significance scores for the molecules in the list. Such identification includes identifying a node in the network; identifying a member-specific sub-network containing nodes connected to the identified node for L levels of nearest neighbors, wherein L is a positive integer; extracting the member-specific sub-network from the network; and repeating these steps for each of the other nodes in the network that corresponds to a molecule in the interesting list.
摘要翻译：用于基于网络识别重要分子的方法，系统和计算机可读介质，其中提供至少一个生物网络以包括要识别的重要分子。识别网络中的节点。针对L个最近邻的L个级别识别包含连接到所识别节点的节点的成员特定子网络，其中L是正整数，并且基于由所识别的节点表示的分子计算连通性得分，基于每个节点包含在成员特定子网中。对网络中的其他节点重复这些步骤。提供用于基于网络识别显着分子的方法，系统和计算机可读介质，其中提供至少一个生物网络以包括要识别的重要分子，提供包括表征实验分子的数据值的数据集，以及有趣的列表的分子作为来自数据集的分子的子集提供，有趣的列表包括列表中分子的显着性得分。这种识别包括识别网络中的节点; 识别包含连接到所识别的节点的节点的成员特定子网络用于最近邻的L级，其中L是正整数; 从网络中提取成员专用子网; 并且对于与有趣列表中的分子相对应的网络中的每个其他节点重复这些步骤。

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