Using machine learning to predict and analyze complex trait diseases: Lessons from a simple abstract model
Fig 6
Schematic example of a single swap.
Each row lists the number of alleles at each of four SNP positions in an individual (0, 1, or 2) and each column lists the number alleles for a specific SNP across four individuals. The swap is allowed as both the first and third rows have the values ‘1’ and ‘2’ in opposite positions. The result of that single swap is shown on the right: the sum of value in each row and column is maintained, while swapping the order within each row and column.