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    • 1. 发明授权
    • Evaluation of substitute terms
    • 替代品评估
    • US08682907B1
    • 2014-03-25
    • US13436744
    • 2012-03-30
    • Ke YangZachary A. GarrettDaisuke Ikeda
    • Ke YangZachary A. GarrettDaisuke Ikeda
    • G06F7/02G06F17/30
    • G06F7/02G06F17/30663G06F17/30684G06F17/3069
    • Methods, systems, and apparatus, including computer programs encoded on computer storage media, for evaluating substitute terms. One of the methods includes selecting a first term and a second term. A first co-occurrence frequency is determined for co-occurring terms in search queries that include the first term. A first vector is generated for the first term using the first co-occurrence frequencies. A second co-occurrence frequency is determined for the co-occurring terms in the search queries that include the first term adjacent to the second term. A second vector is generated for the second term using the second co-occurrence frequencies. A score for the second term as a context for a substitution rule based on the first term is computed, wherein the score is based on a comparison between the first vector and the second vector.
    • 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于评估替代项。 方法之一包括选择第一项和第二项。 针对包括第一项的搜索查询中的共同出现条件确定第一同现频率。 使用第一同现频率为第一项生成第一矢量。 对于包括与第二项相邻的第一项的搜索查询中的共同出现项确定第二同现频率。 使用第二同现频率为第二项产生第二矢量。 计算第二项的作为基于第一项的替代规则的上下文的分数,其中分数基于第一向量和第二向量之间的比较。
    • 2. 发明授权
    • Evaluation of substitute terms
    • 替代品评估
    • US08504562B1
    • 2013-08-06
    • US13438743
    • 2012-04-03
    • Daisuke IkedaKe Yang
    • Daisuke IkedaKe Yang
    • G06F17/30
    • G06F17/30672
    • Methods, systems, and apparatus, including computer programs encoded on computer storage media, for evaluating substitute terms. One of the methods includes selecting a first term and a candidate substitute term for the first term. A first vector is generated for the first term using co-occurrence frequencies of terms that occur in search queries that include the first term. A second vector is generated for the candidate substitute term using co-occurrence frequencies of terms that occur in search queries that include the candidate substitute term. The first vector and the second vector are compared to score an association between the first term and the candidate substitute term.
    • 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于评估替代项。 其中一种方法包括为第一项选择第一项和候选替代项。 使用在包括第一项的搜索查询中出现的术语的同现频率来生成第一项的第一向量。 使用在包括候选替代项的搜索查询中出现的术语的共现频率,为候选替代项生成第二向量。 比较第一个向量和第二个向量,以评估第一项和候选替代项之间的关联。
    • 3. 发明申请
    • ENFORCING CATEGORY DIVERSITY
    • 执行类别多样性
    • US20150169573A1
    • 2015-06-18
    • US13252258
    • 2011-10-04
    • Neha AroraKe YangZuguang Yang
    • Neha AroraKe YangZuguang Yang
    • G06F17/30
    • G06F17/30867G06F17/30241G06F17/30424G06F17/3053G06F17/30554G06F17/30864
    • Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for enforcing category diversity of points of interest (POIs). In one aspect, a method includes receiving a request to identify POIs, obtaining data identifying (i) POIs that satisfy the request, (ii) a category associated with each POI, and (iii) a non-scaled score associated with each POI, and ranking, for each category, the POIs based on the non-scaled scores. The method also includes scaling, for each of one or more categories, the non-scaled scores of the ranked POIs associated with the category, ranking the POIs using the scaled scores, for the POIs that are associated with the one or more categories, and the non-scaled scores, for the POIs that are not associated with the one or more categories, and providing data that identifies the POIs, as ranked according to the scaled and the non-scaled scores.
    • 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于执行兴趣点类别多样性(POI)。 一方面,一种方法包括接收识别POI的请求,获得识别(i)满足请求的POI的数据,(ii)与每个POI相关联的类别,以及(iii)与每个POI相关联的非缩放分数, 并且对于每个类别,基于未分级的分数对POI进行排名。 该方法还包括对于一个或多个类别中的每一个,对与该类别相关联的排名POI的非缩放分数进行缩放,使用缩放分数对与所述一个或多个类别相关联的POI对POI进行排名,以及 对于与一个或多个类别不相关联的POI的未缩放分数,以及提供标识POI的数据,根据缩放分数和非缩放分数排序。
    • 5. 发明申请
    • Random forest modeling of cellular phenotypes
    • 随机森林模型的细胞表型
    • US20070208516A1
    • 2007-09-06
    • US11653109
    • 2007-01-12
    • Vadim KutsyyKe Yang
    • Vadim KutsyyKe Yang
    • G06F19/00
    • G06K9/00147G06K9/6256G16B40/00
    • A method of generating classification models to predict biological activity of a population of cells is provided. In certain embodiments, the method involves a) receiving a training set having values for independent and dependent variables associated with populations of cells; b) clustering the training set; c) randomly selecting, with replacement, clusters of cell populations to construct multiple bootstrap samples of the size of the training set; and d) generating a random forest model for each bootstrap sample, wherein the ensemble of random forest models may be used to classify the test population. Also provided are methods of predicting whether a test population of cells exhibits a pathology or biological activity. In certain embodiments, the methods involve applying data about the test population of cells to an ensemble of random forest models. The prediction may be made by aggregating the predictions of the random forest models in the ensemble.
    • 提供了一种产生分类模型以预测细胞群的生物活性的方法。 在某些实施例中,该方法包括:a)接收具有与细胞群相关联的独立和依赖变量的值的训练集; b)聚类训练集; c)随机选择细胞群体的替换,以构建训练集大小的多个引导样本; 以及d)为每个引导样本生成随机森林模型,其中随机森林模型的整体可以用于对测试群体进行分类。 还提供了预测细胞的测试群体是否呈现病理学或生物学活性的方法。 在某些实施方案中,所述方法包括将关于细胞的测试群体的数据应用于随机森林模型的整体。 可以通过聚合组合中的随机森林模型的预测来进行预测。
    • 9. 发明授权
    • Caged enzyme substrates as probes for reporter enzyme activity
    • 笼状酶底物作为报道酶活性的探针
    • US5981207A
    • 1999-11-09
    • US216445
    • 1998-12-18
    • Jonathan J. BurbaumKe Yang
    • Jonathan J. BurbaumKe Yang
    • C12Q1/42C12Q1/00
    • C12Q1/42Y10S435/968
    • Caged enzyme substrates as probes for detecting reporter enzyme activity in cell-based assays are disclosed. Caged substrates for reporter gene assays are shown as compounds of Formula I or Formula II: ##STR1## wherein Z is a luminescent functionality; G is a labile group, cleavable by enzymatic action; and K is a photolytically cleavable caging group; wherein m and n are independently 0 or 1, but m and n both can not be zero. Test kits for determining reporter enzyme activity using compounds of Formula I or Formula II and photolytic cleavage to produce a compound of Formula III:G.sub.m --Z--G.sub.n IIIare described. Methods for determining reporter enzyme activity and, by inference, the activator or suppressor activity of a test compound in a cell-based assay are also described.
    • 公开了作为用于检测基于细胞的测定中的报道酶活性的探针的笼状酶底物。 用于报道基因测定的笼式底物显示为式I或式II的化合物:其中Z是发光官能团; G是一个不稳定的组,通过酶促作用可以切割; K为光解性切割笼; 其中m和n独立地为0或1,但是m和n都不能为零。 使用式I或式II化合物测定报道酶活性的测试试剂盒和光解裂解以产生式III化合物:Gm-Z-GnIII。 还描述了确定报道酶活性的方法,并且通过推断测试化合物在基于细胞的测定中的活化剂或抑制活性。
    • 10. 发明授权
    • Enforcing category diversity
    • 强化类别多样性
    • US09507801B2
    • 2016-11-29
    • US13252258
    • 2011-10-04
    • Neha AroraKe YangZuguang Yang
    • Neha AroraKe YangZuguang Yang
    • G06F7/00G06F17/30
    • G06F17/30867G06F17/30241G06F17/30424G06F17/3053G06F17/30554G06F17/30864
    • Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for enforcing category diversity of points of interest (POIs). In one aspect, a method includes receiving a request to identify POIs, obtaining data identifying (i) POIs that satisfy the request, (ii) a category associated with each POI, and (iii) a non-scaled score associated with each POI, and ranking, for each category, the POIs based on the non-scaled scores. The method also includes scaling, for each of one or more categories, the non-scaled scores of the ranked POIs associated with the category, ranking the POIs using the scaled scores, for the POIs that are associated with the one or more categories, and the non-scaled scores, for the POIs that are not associated with the one or more categories, and providing data that identifies the POIs, as ranked according to the scaled and the non-scaled scores.
    • 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于执行兴趣点类别多样性(POI)。 一方面,一种方法包括接收识别POI的请求,获得识别(i)满足请求的POI的数据,(ii)与每个POI相关联的类别,以及(iii)与每个POI相关联的非缩放分数, 并且对于每个类别,基于未分级的分数对POI进行排名。 该方法还包括对于一个或多个类别中的每一个,对与该类别相关联的排名POI的非缩放分数进行缩放,使用缩放分数对与所述一个或多个类别相关联的POI对POI进行排名,以及 对于与一个或多个类别不相关联的POI的未缩放分数,以及提供标识POI的数据,根据缩放分数和非缩放分数排序。