Figure 4 | Scientific Reports

Figure 4

From: Machine learning identifies interacting genetic variants contributing to breast cancer risk: A case study in Finnish cases and controls

Figure 4

BC risk prediction as a function of the number of the top-ranked SNPs for arbitrary SNP window sizes on a validation subset. SNPs are sorted based on their BC risk-predictive importance score from the highest to the lowest on the x-axis. The adaptive iterative search algorithm with arbitrary SNP window sizes tend to group and sort the SNPs with the highest BC risk-predictive potential.

Back to article page