Attribution to a reference

The Tracking view's Attribution part measures each sample of a subject against its reference sample, such as an infusion product or a donor's blood, and says what the measures can and cannot tell.

Two measures

The Tracking view's Attribution part on the simulated transplant study: each recipient's share derived from the donor at days 30, 100 and 365, rising from about 60% to 97%, with intervals, and a table of every sample's measuresThe Tracking view's Attribution part on the simulated transplant study: each recipient's share derived from the donor at days 30, 100 and 365, rising from about 60% to 97%, with intervals, and a table of every sample's measures
The simulated transplant study: the donor's share of each recipient's blood, derived from the clonotypes found on one side only.

Mark each subject's reference sample first (Subjects and time points), then open Tracking › Attribution. For each sample and each time point (the samples at one time pooled), with a 95% interval for sampling (Wilson's):

A donor and an infusion product

The share in the reference's clonotypes was within 0.023 of the share the truth expects in the clonotypes the reference sample holds, on both studies. Its interval is for sampling alone: with the studies' variation between blood samples, it held that truth in about half the samples. It ran 0.17 to 0.28 below the share in all the reference's clonotypes, which its sample misses some of.

Using the result

The plots save as figures. Export writes every sample's and time point's measures, with their counts and intervals, as CSV. The methods paragraph says how they were made. Scripts use attribute_samples (Remote control).