Figure 2

Illustration of different components of CMRF and connectivity between them. (A) obtains an initial estimates of state variables using Student's t test. (B) estimates parameters in a way that maximizes data likelihood. (C) estimates parameters in order to maximize prior density. Both (B) and (C) use a global optimization technique called Differential Evolution. (D) employs Iterated Conditional Modes to maximize the pseudo-likelihood. (B), (C) and (D) consist of an alternating optimization technique. These three steps (B), (C) and (D) are repeated till the algorithm meets a criteria for completion. Finally, once the optimization is complete, the DR genes are sorted in decreasing order of their likelihood with respect to the metagene g₀. The genes at the top of the list are declared PDR.