Resolution:
## Figure 4.
The directed graphical model used by RSEM. The model consists of N sets of random variables, one per sequenced RNA-Seq fragment. For fragment n, its parent transcript, length, start position, and orientation are represented by
the latent variables G, _{n}F, _{n}Sand _{n }Orespectively. For PE data, the observed variables (shaded circles), are the read lengths
( and ), quality scores ( and ), and sequences ( and ). For SE data, , , and are unobserved. The primary parameters of the model are given by the vector _{n }θ, which represents the prior probabilities of a fragment being derived from each transcript.
Li and Dewey |