More detailed analysis of the behaviour of the loops required analysis of the co-variance between the loops. All the PQS identified above were examined, and represented as a three-dimensional coordinate set ij,k , where i is the length of the first loop, j the second and k the third. [Pg.218]

The best method of modelling this behaviour is using a model called diagonal quasi-independence, and corresponds to a probability mixture model in which with probability a, the loops lengths are constrained to be the same, and with probability (1-a), they are independent. This method gives the relationship shown below, where Nik is the predicted count with first loop length i and third loop length k, (3 - and (3y are the two independent distributions. [Pg.218]

Most common loop lengths Least common loop lengths [Pg.219]

Loop 1 Loop 2 Loop 3 Number Loop 1 Loop 2 Loop 3 Number [Pg.219]

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