发明名称 |
Methods for identifying differentially expressed genes by multivariate analysis of microaaray data |
摘要 |
The present invention applies pattern recognition and multidimensional classification in statistical microarray data analysis. There are provided methods for identifying a subset of genes that are differentially expressed under a given biological state or at a given biological locale of interest by determining an advantageously large probability distance between the random vectors representing expression levels of the genes of interest. The invention also provides a cross-validated random search mechanism for a subset of genes based on various probability distances between two random vectors.
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申请公布号 |
US2004265830(A1) |
申请公布日期 |
2004.12.30 |
申请号 |
US20040492599 |
申请日期 |
2004.08.18 |
申请人 |
SZABO ANIKO;TSODIKOV ALEXANDER;YAKOVLEV ANDREI;BOUCHER KENNETH;JONES DAVID A.;CARROLL WILLIAM |
发明人 |
SZABO ANIKO;TSODIKOV ALEXANDER;YAKOVLEV ANDREI;BOUCHER KENNETH;JONES DAVID A.;CARROLL WILLIAM |
分类号 |
C12Q1/68;G06F19/20;G06F19/24;(IPC1-7):C12Q1/68 |
主分类号 |
C12Q1/68 |
代理机构 |
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地址 |
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