Boolean implication networks derived from large scale, whole genome microarray datasets.
Boolean implication networks derived from large scale, whole genome microarray datasets.
复制标题
DOI：
10.1186/gb-2008-9-10-r157
复制
发表时间：
2008-10-30
期刊：
影响因子：
12.3
通讯作者：
Plevritis SK
中科院分区：
文献类型：
--
作者：
Sahoo D;Dill DL;Gentles AJ;Tibshirani R;Plevritis SK
A method for analysis of microarray data is presented that extracts statistically significant Boolean implication relationships between pairs of genes. We describe a method for extracting Boolean implications (if-then relationships) in very large amounts of gene expression microarray data. A meta-analysis of data from thousands of microarrays for humans, mice, and fruit flies finds millions of implication relationships between genes that would be missed by other methods. These relationships capture gender differences, tissue differences, development, and differentiation. New relationships are discovered that are preserved across all three species.
登录
查看更多内容
影响因子：
5.8
作者：
Hibbs, Matthew A.;Hess, David C.;Troyanskaya, Olga G.
通讯作者：
Troyanskaya, Olga G.
影响因子：
56.9
作者：
Barabási, AL;Albert, R
通讯作者：
Albert, R
影响因子：
4.4
作者：
Davenport, JW;Fernandes, ER;Goorha, R
通讯作者：
Goorha, R
影响因子：
56.9
作者：
Cao, R;Wang, LJ;Zhang, Y
通讯作者：
Zhang, Y
影响因子：
14.9
作者：
Edgar, R;Domrachev, M;Lash, AE
通讯作者：
Lash, AE