发明申请
US20070203653A1 Method and system for computational detection of common aberrations from multi-sample comparative genomic hybridization data sets 审中-公开
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

Method and system for computational detection of common aberrations from multi-sample comparative genomic hybridization data sets
摘要:
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.
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