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    Probe correction for gene expression level detection
    3.
    发明授权
    Probe correction for gene expression level detection 有权
    基因表达水平检测的探针校正

    公开(公告)号：US07715990B2

    公开(公告)日：2010-05-11

    申请号：US10500587

    申请日：2003-01-17

    申请人： Guangzhou Zou ,  Hur-Song Chang ,  Yiping Fan ,  Fan Long ,  Xun Wang ,  Tong Zhu

    发明人： Guangzhou Zou ,  Hur-Song Chang ,  Yiping Fan ,  Fan Long ,  Xun Wang ,  Tong Zhu

    IPC分类号： G01N33/483

    CPC分类号： G06F19/20 ,  C12Q1/6837 ,  C12Q2600/158

    摘要： Individual probes on micro-arrays are re-scaled and corrected with a set of probe dependent coefficients derived from genomic-DNA hybridization signals. A dynamic range for gDNA binding is determined by measuring a concentration signal curve. Signals for each probe are measured during multiple hybridizations within a linear range. Concentration insensitive probes are then found for two sets of experiments. Probes are discarded based on a threshold compared to their standard deviation divided by their average in each set. The correction coefficients are used to calculate a corrected intensity for each probe. Probes having high uncertainty (0.5 in one embodiment) are discarded. A weighting factor for each probe is determined along with an uncertainty factor. Finally, a call for each gene is made, such as absent, marginal or present.

    摘要翻译： 使用从基因组DNA杂交信号衍生的一组探针依赖系数对微阵列上的单个探针进行重新定标和校正。 通过测量浓度信号曲线确定gDNA结合的动态范围。 在线性范围内的多次杂交期间测量每个探针的信号。 然后发现两组实验的浓度不敏感探针。 探针根据其标准偏差除以每组中的平均值的阈值进行丢弃。 校正系数用于计算每个探针的校正强度。 具有高不确定度的探针（在一个实施例中为0.5）被丢弃。 确定每个探头的加权系数以及不确定因素。 最后，调用每个基因，如缺席，边缘或存在。

    Probe correction for gene expression level detection
    4.
    发明申请
    Probe correction for gene expression level detection 有权
    基因表达水平检测的探针校正

    公开(公告)号：US20050064426A1

    公开(公告)日：2005-03-24

    申请号：US10500587

    申请日：2003-01-17

    申请人： Guangzhou Zou ,  Hur-Song Change ,  Yiping Fan ,  Fan Long ,  Xun Wang ,  Tong Zhu

    发明人： Guangzhou Zou ,  Hur-Song Change ,  Yiping Fan ,  Fan Long ,  Xun Wang ,  Tong Zhu

    IPC分类号： G01N33/566 ,  C07H21/02 ,  C07H21/04 ,  C12N15/09 ,  C12P19/34 ,  C12Q20060101 ,  C12Q1/68 ,  G01N31/00 ,  G01N33/48 ,  G01N33/50 ,  G01N33/53 ,  G06F15/00 ,  G06F17/00 ,  G06F19/20 ,  G06F19/00

    CPC分类号： G06F19/20 ,  C12Q1/6837 ,  C12Q2600/158

    摘要： Individual probes on micro-arrays are re-scaled and corrected with a set of probe dependent coefficients derived from genomic-DNA hybridization signals. A dynamic range for gDNA binding is determined by measuring a concentration signal curve. Signals for each probe are measured during multiple hybridizations within a linear range. Concentration insensitive probes are then found for two sets of experiments. Probes are discarded based on a threshold compared to their standard deviation divided by their average in each set. The correction coefficients are used to calculate a corrected intensity for each probe. Probes having high uncertainty (0.5 in one embodiment) are discarded. A weighting factor for each probe is determined along with an uncertainty factor. Finally, a call for each gene is made, such as absent, marginal or present.

    摘要翻译： 使用从基因组DNA杂交信号衍生的一组探针依赖系数对微阵列上的单个探针进行重新定标和校正。 通过测量浓度信号曲线确定gDNA结合的动态范围。 在线性范围内的多次杂交期间测量每个探针的信号。 然后发现两组实验的浓度不敏感探针。 探针根据其标准偏差除以每组中的平均值的阈值进行丢弃。 校正系数用于计算每个探针的校正强度。 具有高不确定度的探针（在一个实施例中为0.5）被丢弃。 确定每个探头的加权系数以及不确定因素。 最后，调用每个基因，如缺席，边缘或存在。

    Gene function inferring using gene expression data
    5.
    发明申请
    Gene function inferring using gene expression data 审中-公开
    基因功能使用基因表达数据推断

    公开(公告)号：US20050064425A1

    公开(公告)日：2005-03-24

    申请号：US10500585

    申请日：2003-02-11

    申请人： Xinghai Chen ,  Guangzhou Zou ,  Xun Wang

    发明人： Xinghai Chen ,  Guangzhou Zou ,  Xun Wang

    IPC分类号： C12N15/00 ,  C12N20060101 ,  C12Q1/68 ,  G01N33/48 ,  G01V5/04 ,  G06F19/18 ,  G06F19/20 ,  G06F19/24 ,  G06F19/00

    CPC分类号： G16B25/00 ,  G16B20/00 ,  G16B40/00

    摘要： Potential functions of one or more genes are inferred from gene expression measurements. A method involves assembling a distribution of expression level measurements for one or more genes. The method also involves calculating a significance value for each of the expression level measurements. The significance values determine which gene expression samples are classified as relevant and which are classified as irrelevant. The two sample classes are compared to each other to determine the non-overlapping parameters from the gene expression data between them. The non-overlapping parameters are used to indicate gene function of an unknown gene.

    摘要翻译： 从基因表达测量推断出一个或多个基因的潜在功能。 一种方法包括组合一个或多个基因的表达水平测量的分布。 该方法还包括计算每个表达水平测量的显着性值。 显着性值决定了哪些基因表达样品被分类为相关的，哪些被分类为无关的。 将两个样本类别彼此进行比较，以从它们之间的基因表达数据确定不重叠的参数。 非重叠参数用于表示未知基因的基因功能。