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1. 发明授权

US08271414B2 Network characterization, feature extraction and application to classification 有权
标题翻译：网络表征，特征提取和应用分类
公开(公告)号：US08271414B2
公开(公告)日：2012-09-18
申请号：US12508791
申请日：2009-07-24
申请人： Guillermo Alberto Cecchi , Srinivas Ravi Viraraghava Iyengar , Avi Ma'ayan , Ravishankar Rao , Gustavo Alejandro Stolovitzky , John Michael Wagner
发明人： Guillermo Alberto Cecchi , Srinivas Ravi Viraraghava Iyengar , Avi Ma'ayan , Ravishankar Rao , Gustavo Alejandro Stolovitzky , John Michael Wagner
IPC分类号： G06F17/00 , G06N5/02
CPC分类号： G06K9/6296 , G06F19/00 , G06N99/005 , G16H50/70
摘要： Methods, systems and apparatus for characterizing networks are presented. For example, a method of characterizing a network represented by a plurality of nodes and a plurality of edges is provided. The method may be implemented on a processor device and includes calculating, for example, by the processor device, a passthrough count of at least a portion of the network. The passthrough count includes a count of a number of passthroughs in the at least a portion of the network. A passthrough includes one of the plurality of nodes, a directed edge of the plurality of edges coupled to the one of the plurality of nodes, and another edge of the plurality of edges coupled to the one of the plurality of nodes. At most one of the directed edge and the other edge is directed towards the one of the plurality of nodes. At most one of the directed edge and the other edge is directed away from the one of the plurality of nodes.
摘要翻译：提出了表征网络的方法，系统和装置。例如，提供了表征由多个节点和多个边缘表示的网络的方法。该方法可以在处理器设备上实现，并且包括例如由处理器设备计算网络的至少一部分的直通计数。通过计数包括在网络的至少一部分中的通过数量的计数。传播包括多个节点中的一个，耦合到多个节点中的一个节点的多个边缘中的有向边缘，以及耦合到多个节点中的一个节点的多个边缘中的另一个边缘。有向边缘和另一边缘中的至少一个被引导到多个节点中的一个。定向边缘和另一边缘中的至少一个被引导离开多个节点中的一个。

2. 发明申请

US20110022355A1 Network Characterization, Feature Extraction and Application to Classification 有权
标题翻译：网络特征，特征提取和分类应用
公开(公告)号：US20110022355A1
公开(公告)日：2011-01-27
申请号：US12508791
申请日：2009-07-24
申请人： Guillermo Alberto Cecchi , Srinivas Ravi Viraraghava Iyengar , Avi Ma'ayan , Ravishankar Rao , Gustavo Alejandro Stolovitzky , John Michael Wagner
发明人： Guillermo Alberto Cecchi , Srinivas Ravi Viraraghava Iyengar , Avi Ma'ayan , Ravishankar Rao , Gustavo Alejandro Stolovitzky , John Michael Wagner
IPC分类号： G06F15/00
CPC分类号： G06K9/6296 , G06F19/00 , G06N99/005 , G16H50/70
摘要： Methods, systems and apparatus for characterizing networks are presented. For example, a method of characterizing a network represented by a plurality of nodes and a plurality of edges is provided. The method may be implemented on a processor device and includes calculating, for example, by the processor device, a passthrough count of at least a portion of the network. The passthrough count includes a count of a number of passthroughs in the at least a portion of the network. A passthrough includes one of the plurality of nodes, a directed edge of the plurality of edges coupled to the one of the plurality of nodes, and another edge of the plurality of edges coupled to the one of the plurality of nodes. At most one of the directed edge and the other edge is directed towards the one of the plurality of nodes. At most one of the directed edge and the other edge is directed away from the one of the plurality of nodes.
摘要翻译：提出了表征网络的方法，系统和装置。例如，提供了表征由多个节点和多个边缘表示的网络的方法。该方法可以在处理器设备上实现，并且包括例如由处理器设备计算网络的至少一部分的直通计数。通过计数包括在网络的至少一部分中的通过数量的计数。传播包括多个节点中的一个，耦合到多个节点中的一个节点的多个边缘中的有向边缘，以及耦合到多个节点中的一个节点的多个边缘中的另一个边缘。有向边缘和另一边缘中的至少一个被引导到多个节点中的一个。定向边缘和另一边缘中的至少一个被引导离开多个节点中的一个。

3. 发明授权

US08808992B2 SHOC2 mutations causing noonan-like syndrome with loose anagen hair 有权
标题翻译： SHOC2突变导致了具有松散原生动物头发的无复旦综合征
公开(公告)号：US08808992B2
公开(公告)日：2014-08-19
申请号：US12775396
申请日：2010-05-06
申请人： Bruce D. Gelb , Marco Tartaglia , Len Pennacchio , Ravi Iyengar , Avi Ma'ayan
发明人： Bruce D. Gelb , Marco Tartaglia , Len Pennacchio , Ravi Iyengar , Avi Ma'ayan
IPC分类号： C12Q1/68 , C07K5/00
CPC分类号： C12Q1/6883 , C07K14/4702 , C12Q2600/156
摘要： The present invention is directed to methods of diagnosing Noonan-like syndrome with loose anagen hair comprising detecting a mutation in SHOC2 gene. One specific diagnostic mutation disclosed is an A-to-G transition at position 4 resulting in a mutation at position 2 of SHOC2 amino acid sequence from serine to glycine. The invention also provides related sequences and kits.
摘要翻译：本发明涉及用松质毛发诊断Noonan样综合征的方法，其包括检测SHOC2基因中的突变。公开的一个具体的诊断突变是位置4处的A至G转换，导致在从丝氨酸到甘氨酸的SHOC2氨基酸序列的位置2处的突变。本发明还提供相关的序列和试剂盒。

4. 发明申请

US20080261820A1 Methods to Analyze Biological Networks 审中-公开
标题翻译：分析生物网络的方法
公开(公告)号：US20080261820A1
公开(公告)日：2008-10-23
申请号：US11997632
申请日：2006-08-01
申请人： Ravi Iyengar , Avi Ma'ayan
发明人： Ravi Iyengar , Avi Ma'ayan
IPC分类号： C40B30/02
CPC分类号： G16B40/00 , G16B5/00 , G16B20/00 , G16B45/00
摘要： The present invention relates to a family of graph-theory based methods for the analysis of intracellular signaling networks created from biomedical literature using data-mining processes or acquired through high-content experiments. The methods of the present invention can be used to identify functional dynamic modules within biological networks that can be analyzed quantitatively for input/output relationships. In particular, the present invention relates to a computer-aided method for the in-silico analysis of signaling and other cellular interaction pathways to rank drug targets, identify biomarkers, predict side effects, and classify/diagnose patients.
摘要翻译：本发明涉及一种基于图论的家族分析方法，用于分析使用数据挖掘过程或通过高含量实验获得的生物医学文献创建的细胞内信号网络。本发明的方法可以用于识别可以在输入/输出关系下定量分析的生物网络内的功能动态模块。特别地，本发明涉及计算机辅助方法，用于计算机分析信号和其他细胞相互作用途径以排列药物靶标，鉴定生物标志物，预测副作用以及分类/诊断患者。

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