课题基金 / 基金详情

AUTOMATED ANOMALY DETECTIONS IN CYTOGENETICS

AUTOMATED ANOMALY DETECTIONS IN CYTOGENETICS
细胞遗传学中的自动异常检测
批准号:
3492026
负责人:
KENNETH R. CASTLEMAN
金额:
$5.0万
依托单位国家:
美国
项目类别:
财政年份:
1988
资助国家:
美国
项目状态:
已结题
起止时间:
1988-09-30 至 1989-09-30

项目摘要

项目成果

KENNETH R. CASTLEMAN的其他基金

相似基金

相关文献

中文摘要
翻译
这个项目的目标是开发一种显著改进的 用于染色体异常检测的软件,通过将 染色体显带模式,显示其本质 特征,为其建立理想化表示 特定的类型,并定量比较染色体与 原型和彼此之间的关系。这将提高特异性。 染色体带型特征,特别是高 分辨率条带,以检测和量化亚可见光 带状图案更改。 具体来说,我们将开发染色体图像分析软件 这将(1)提取条带模式相似性的本质 在一组染色体中,(2)显示理想的图像 它们的共同特征,(3)染色体分类 通过将它们与每种同源类型的原型进行比较,(4) 相互比较同源基因以检测细微的异常,(5) 比较染色体片段以发现异常,(6)发展 一群人的典型染色体图像 并将这些疾病与正常人群进行比较。我们 将使用特征向量法分解染色体图像 转换为组件,选择那些反映 条带图案的相关特征,同时消除 反映预备伪影的成分,染色体间 变化,以及其他不相关的差异。这项新功能 将显著提高自动染色体的能力 用于评估染色体改变的分析仪器 在肿瘤细胞和正常哺乳动物细胞中。
英文摘要
The goal of this project is to develop a significantly improved software for chromosome anomaly detection, by characterizing a chromosome banding pattern, displaying its essential characteristics, establishing idealized representations for specific types, and quantitatively comparing chromosomes to prototypes and to each other. This will improve the specificity of chromosome band pattern characterization, particularly with high resolution banding, in order to detect and quantify sub-visible band pattern alterations. Specifically, we will develop chromosome image analysis software that will (1) extract the essence of the band pattern similarities of a group of chromosomes, (2) display an idealized image showing the characteristics they have in common, (3) classify chromosomes by comparing each to the prototype for each homolog type, (4) compare homologs to each other to detect subtle abnormalities, (5) compare segments of chromosomes to detect anomalies, (6) develop prototypical chromosome images for groups of people manifesting genetically linked diseases and compare these with normals. We will use the Eigenvector method of decomposing chromosome images into components, selecting those components which reflect the relevant characteristics of the banding pattern, while eliminating components that reflect preparatory artefact, inter-chromosome variation, and other irrelevant differences. This new capability will significantly increase the ability of automated chromosome analysis instruments to evaluate chromosome alterations in neoplastic and in normal mammalian cells.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
IMPROVED CLASSIFIERS FOR AUTOMATED MULTIPLEX FISH
Improved Classifiers for Multiplex FISH
Improved Classifiers for Multiplex FISH
AUTOMATED COLOR KARYOTYPING
  • 批准号:
    2026718
  • 项目类别:
  • 资助金额:
    $9.95万
  • 财政年份:
    1997
  • 负责人:
    KENNETH R. CASTLEMAN
  • 依托单位:
海外基金