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Fig. 11 | BMC Bioinformatics

Fig. 11

From: High dimensional model representation of log-likelihood ratio: binary classification with expression data

Fig. 11

Scatter plots of gene pairs with significant interactions for the breast cancer dataset. Red denotes relapsing breast cancer patient within the follow-up time and blue denotes patients who did not relapse: (a) decreased expression of SPDEF and MLPH increases relapse risk, (b) over-expression of both AGR2 and NAT1 is an indicator of low relapse risk, decreased expression of NAT1 and over-expression of AGR2 seems to result in medium risk, and patients for whom both AGR2 and NAT1 have decreased expressions are in high risk of relapse, (c) to have a high risk of relapse both DNALI1 and NAT1 must have decreased expression, i.e., over-expression of either gene is an indicator of low relapse risk, (d) decreased expression of both SPDEF and SCL2A10 is an indicator of high relapse risk

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