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    • 5. 发明申请
    • Method and system for analysis of gene-expression data
    • 用于分析基因表达数据的方法和系统
    • US20060190190A1
    • 2006-08-24
    • US11048970
    • 2005-02-02
    • Zohar YakhiniAmir Ben-DorAnya TsalenkoDavid Deng
    • Zohar YakhiniAmir Ben-DorAnya TsalenkoDavid Deng
    • G06F19/00
    • G16B25/00
    • In various embodiments of the present invention, initial gene-expression data is initially partitioned into classes by patient, subject, or other identifier of a source of samples, expression-level-differences are computed for each gene with respect to each initial partition, and a rank consistency score or fold-change consistency score is computed for each gene from the expression-level difference metrics computed for each initial partition. In other words, rather than partitioning gene-expression-level data directly into two or more classes relative to an event of interest, the gene-expression-level data is first partitioned according to sample source, and then each sample-source partition is partitioned into two or more classes relative to an event of interest. Levels of significance, or p-values, can be straightforwardly computed for both rank consistency scores and fold-change consistency scores.
    • 在本发明的各种实施方案中,初始基因表达数据最初按照样品来源的患者,受试者或其他标识符分类,根据每个初始分区计算每个基因的表达水平差异, 根据为每个初始分区计算的表达级差异度量,为每个基因计算排序一致性分数或倍数变化一致性分数。 换句话说,不是将基因表达级数据直接分为两个或更多相关于感兴趣事件的类别,因此首先根据样本源分割基因表达级数据,然后将每个样本源分区分区 相对于感兴趣的事件进入两个或更多个类。 对于等级一致性分数和折叠一致性分数,可以直接计算重要程度或p值。
    • 6. 发明申请
    • Analyzing and visualizing enrichment in DNA sequence alterations
    • 分析和可视化DNA序列变异中的富集
    • US20060173635A1
    • 2006-08-03
    • US11049565
    • 2005-02-01
    • Zohar YakhiniAmir Ben-DorAnya TsalenkoDoron Lipson
    • Zohar YakhiniAmir Ben-DorAnya TsalenkoDoron Lipson
    • G06F19/00
    • G16B25/00G16B20/00
    • Methods, tools, systems and computer readable media for analyzing CGH data, together with data from an independent source. Independent data is compared with the CGH data, wherein the CGH data is characterized by sets of defined regions differentiated by at least one property. Enrichment is assessed for at least one subset of the data from an independent source with regard to at least one of the sets of defined regions in the CGH data. Methods, tools, systems and computer readable media for visualizing CGH data as it is impacted by data from an independent source are also provided. A relationship between at least one defined set of the CGH data and at least one set of sequence elements defined in the data from an independent source may be visualized.
    • 用于分析CGH数据的方法,工具,系统和计算机可读介质,以及来自独立源的数据。 将独立数据与CGH数据进行比较,其中CGH数据由通过至少一个属性区分的限定区域的集合来表征。 相对于CGH数据中的至少一个限定区域的集合,来自独立源的至少一个数据子集的浓度被评估。 还提供了用于可视化CGH数据的方法,工具,系统和计算机可读介质,因为它受来自独立源的数据的影响。 至少一个定义的CGH数据集与来自独立源的数据中定义的至少一组序列元素之间的关系可以被可视化。
    • 7. 发明申请
    • Method and system for computational detection of common aberrations from multi-sample comparative genomic hybridization data sets
    • 用于多样本比较基因组杂交数据集的常见像差的计算检测方法和系统
    • US20070203653A1
    • 2007-08-30
    • US11363699
    • 2006-02-28
    • Amir Ben-DorAnya TsalenkoDoron LipsonZohar Yakhini
    • Amir Ben-DorAnya TsalenkoDoron LipsonZohar Yakhini
    • G06F19/00
    • G16B25/00G16B30/00G16B40/00
    • Various embodiments of the present invention are directed to methods and systems for automatic, statistically meaningful detection of aberrations common to multiple samples within a sample set. Many various aberration-calling techniques are used to identify aberrant intervals within each of the samples of the sample set. A set of candidate intervals is constructed to include the aberrant intervals identified by the aberration-calling technique, as well as two-way intersections of the identified aberrant intervals. A score indicating the statistical relevance of each candidate interval with respect to each sample is next assigned to each candidate interval. Then, a total significance score is assigned to each candidate interval based on the individual scores for the candidate interval with respect to each sample. The most statistically significant candidate intervals may be selected based on the total significance scores assigned to the candidate intervals.
    • 本发明的各种实施例涉及用于对样本集合内的多个样本共同的像差进行自动统计学上有意义的检测的方法和系统。 使用许多各种像差调用技术来识别样本集合的每个样本内的异常间隔。 一组候选间隔被构造成包括由像差调用技术识别的异常间隔以及所识别的异常间隔的双向交叉。 指示每个候选间隔相对于每个样本的统计学相关性的分数接下来分配给每个候选间隔。 然后,基于针对每个样本的候选间隔的各个评分,将总重要性得分分配给每个候选间隔。 可以基于分配给候选间隔的总重要性得分来选择最具统计意义的候选间隔。
    • 10. 发明申请
    • System and methods for the management and treatment of vascular graft disease
    • 血管移植疾病的治疗和治疗的系统和方法
    • US20060003338A1
    • 2006-01-05
    • US10882014
    • 2004-06-30
    • David DengAnya Tsalenko
    • David DengAnya Tsalenko
    • C12Q1/68G01N33/53C12M1/34
    • G01N33/6893G01N2800/245
    • Various embodiments of the present invention are directed to a system and methods for minimizing risk factors that contribute to the development of vascular graft disease and vascular graft failure. In one embodiment, a microarray-based gene expression analysis may be employed to select pre-implanted vessel candidates suitable as grafts in various vascular transplantation procedures. By using a microarray that includes a set of probe sequences that statistically correlate with vascular graft disease, mRNA expression levels of vascular-graft-disease-related genes within vessel-graft candidates can be determined to produce an expression profile for each vessel tested. Such molecular profile of genes related to various forms of vascular graft disease enables clinicians to select a vessel graft having the lowest probability of developing vascular graft diseases, and having the highest probability of maintaining adequate patency rate. Various types of arteries and veins may be discriminated from one another based on their respective gene expression profiles.
    • 本发明的各种实施方案涉及用于最小化有助于血管移植物疾病和血管移植物衰竭发展的危险因素的系统和方法。 在一个实施方案中,基于微阵列的基因表达分析可用于选择适合于各种血管移植手术中的移植物的预先植入的血管候选物。 通过使用包括与血管移植疾病统计学相关的一组探针序列的微阵列,可以确定血管移植物候选物中的血管移植物疾病相关基因的mRNA表达水平以产生每个测试血管的表达谱。 与各种形式的血管移植疾病相关的基因的这种分子谱可使临床医生选择血管移植疾病发展概率最低的血管移植物,并具有维持足够通畅率的最高概率。 基于各自的基因表达谱,可以区分各种类型的动脉和静脉。