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    • 1. 发明申请
    • Systems, methods and computer readable media for performing a domain-specific metasearch, and visualizing search results therefrom
    • 用于执行域特定元搜索的系统,方法和计算机可读介质,以及从其中可视化搜索结果
    • US20050278321A1
    • 2005-12-15
    • US11166696
    • 2005-06-24
    • Aditya VailayaAllan KuchinskyRobert Kincaid
    • Aditya VailayaAllan KuchinskyRobert Kincaid
    • G06F7/00G06F19/28
    • G06F17/30864G06F17/30991G06F19/28Y10S707/99935Y10S707/99943
    • Systems, methods and computer readable media for performing a domain-specific metasearch, and obtaining search results therefrom. A metasearch engine capable of accessing generic, web-based search engines and domain-relevant search engines is provided to receive one or more queries inputted by a user, and to search for documents on at least one the generic, web-based search engines and domain-relevant search engines which are relevant to the queries. Raw data search results are fetched in the form of text documents. Relevant data including semantic information are extracted from the raw data search results, and converted to a local format. The relevant data having been converted to the local format may be visualized as a network visualization. Additionally or alternatively, the raw data search results may be ranked and/or filtered based on the linking of the relevant data. Visualization of the raw data having been ranked and/or filtered may be performed in addition to, or alternative to visualization of the network.
    • 用于执行域特定元搜索的系统,方法和计算机可读介质,以及从其获得搜索结果。 提供了能够访问通用的,基于网络的搜索引擎和域相关搜索引擎的元搜索引擎,用于接收用户输入的一个或多个查询,并且在至少一个通用的基于web的搜索引擎上搜索文档,以及 与查询相关的域相关搜索引擎。 原始数据搜索结果以文本文档的形式提取。 从原始数据搜索结果中提取包括语义信息的相关数据,并将其转换为本地格式。 已经转换为本地格式的相关数据可以被可视化为网络可视化。 另外或替代地,可以基于相关数据的链接对原始数据搜索结果进行排名和/或过滤。 已经排序和/或过滤的原始数据的可视化可以除了网络的可视化之外或替代以进行。
    • 3. 发明申请
    • Network-based approaches to identifying significant molecules based on high-throughput data analysis
    • 基于网络的基于高通量数据分析识别重要分子的方法
    • US20070174019A1
    • 2007-07-26
    • US11264259
    • 2005-10-31
    • Aditya VailayaAllan KuchinskyEuan AshleyJennifer KingRossella FerraraThomas Quertermous
    • Aditya VailayaAllan KuchinskyEuan AshleyJennifer KingRossella FerraraThomas Quertermous
    • G06F17/18
    • G16B5/00G16B20/00
    • 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.
    • 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。
    • 9. 发明授权
    • Domain specific knowledge-based metasearch system and methods of using
    • 基于域知识的元搜索系统和使用方法
    • US06920448B2
    • 2005-07-19
    • US10033823
    • 2001-12-19
    • Robert KincaidSimon HandleyAditya VailayaParvathi Chundi
    • Robert KincaidSimon HandleyAditya VailayaParvathi Chundi
    • G06F17/30
    • G06F17/30713G06F17/30864Y10S707/99933
    • A system and method for performing domain-specific knowledge based metasearches. A metasearch engine is provided for accessing a searching text-based documents using generic search engines while simultaneously being able to access publication based databases and sequence databases as well as in-house proprietary databases and any database capable of being interfaced with a web interface so as to produce search results in text format. A data mining module is also provided for organizing raw data obtained by unsupervised clustering, simple relevance ranking, and categorization, all of which are done independently of one another. The system is capable of storing previous search data for use in query refinement or subsequent searches based upon the stored data. A search results collection browser may be provided for analyzing current browsing patterns of the user for developing weighting factors to be used in ordering the results of future searches.
    • 一种用于执行基于领域的知识基于metasearches的系统和方法。 提供了一种元搜索引擎,用于使用通用搜索引擎访问基于文本的文档,同时能够访问基于发布的数据库和序列数据库,以及内部专有数据库和能够与Web界面进行连接的任何数据库,以便 以文本格式生成搜索结果。 还提供了一种数据挖掘模块,用于组织通过无监督聚类获得的原始数据,简单的相关性排序和分类,所有这些都是独立于彼此完成的。 该系统能够基于所存储的数据存储先前的搜索数据以用于查询细化或后续搜索。 可以提供搜索结果收集浏览器,用于分析用户的当前浏览模式,以开发用于排序未来搜索结果的加权因子。
    • 10. 发明申请
    • Methods and systems, for ontological integration of disparate biological data
    • 用于本体论整合不同生物数据的方法和系统
    • US20050216459A1
    • 2005-09-29
    • US11128896
    • 2005-05-12
    • Aditya VailayaRobert Kincaid
    • Aditya VailayaRobert Kincaid
    • G06F7/00G06F19/12
    • G16B50/00G16B5/00
    • Methods, systems and computer readable media for correlating data from data sets to higher level categories of characterization of the data. Data from a first set of data is analyzed to determine where members of the first set map to an ontology. Data from a second set of data is analyzed to determine where members of the second set map to the ontology. From such analysis a subset of the first set of data is identified and a subset of the second set of data is identified. The subset of the first set of data is statistically analyzed with regard to its mapping to the ontology, and a first set of ontology terms are identified that are statistically differentiated by members of the subset of the first set of data. The subset of the second set of data is statistically analyzed with regard to its mapping to the ontology, and a second set of ontology terms is identified that are statistically differentiated by members of the subset of the second set of data. Correlation of the first set of ontology terms with the second set of ontology terms may further be performed.
    • 用于将来自数据集的数据与数据的更高级别表征相关联的方法,系统和计算机可读介质。 分析来自第一组数据的数据,以确定第一组的成员映射到本体的位置。 分析来自第二组数据的数据以确定第二集合的成员映射到本体的位置。 从这样的分析中,识别第一组数据的子集,并且识别第二组数据的子集。 第一组数据的子集关于其对本体的映射进行统计分析,并且识别由第一组数据的子集的成员统计地区分的第一组本体术语。 第二组数据的子集关于其与本体的映射进行统计分析,并且识别由第二组数据的子集的成员统计地区分的第二组本体术语。 可以进一步执行第一组本体项与第二组本体术语的相关性。