Resolution:
## Figure 4.
Linear mixed effects model for a factorial experiment. i = 1, ..., I is the index of a feature, j = 1, ..., J the index of a condition, k = 1, ..., K the index of a biological replicate, and l = 1, ..., L of a technical replicate. Notation S(C)_{k(j) }is read as "biological replicate within a condition", and is the unique identifier
of each biological replicate. is the variance of the measurement error and the between-subject variance in the underlying population. μ_{111 }is the expected log-intensity of the arbitrary chosen first feature, first condition,
and first biological replicate. (a) and (b) are two alternative interpretations of
the term subject, which distinguish reduced and expanded scopes of biological replication. A separate
such model is specified for each protein.
Clough |