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Gene expression profiling provides us with a matrix of n expression values measured for p genes where p is much larger than n, typically somewhere between one and three orders of magnitude. ûÓзÖ×ÓÉúÎïѧµÄ»ù´¡£¬²»ÄÜÃ÷°×ÎÄÏ×Àïp£¬nµÄº¬Ò壬ϣÍûÓдóÏÀ¼òµ¥¸øÎÒ½âÊÍһϡ£Ë³±ãÎÊÒ»¾ä£¬ÓÐÈËÓùýqp-graphô£¬Äܲ»ÄܸæËßÎÒ²éÄÄÒ»·½ÃæµÄÊéÄÜÈÃÎÒÀí½âqp-graphÀïÃæµÄÏà¹ØËã·¨ÄØ£¿ |
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An analogous idea with Gaussian graphical models associated to undirected graphs is to employ limited- order partial correlations, concretely, q-order partial correlations with q < .n 2/. In this way, we can carry out a test for the hypothesis of zero q-order partial correlation between two genes with the hope that if they are not directly associated, their indirect association is mediated by less or equal than q other genes. »¹ÓÐÕâ¾ä»°ÊÇʲôÒâ˼£¿qÔÚÕâÀïµÄº¬ÒåÊÇɶ~¸Ð¼¤²»¾¡T.T |
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