DESHARKY is a Monte Carlo algorithm that finds a metabolic pathway from a target compound by exploring a database of enzymatic reactions. DESHARKY outputs a biochemical route to the host metabolism together with its impact in the cellular context by using mathematical models of the cell resources and metabolism.
MAMLE is a novel segmentation method for detecting cells within dense clusters. MAMLE executes cell segmentation in two main stages. The first relies on state of the art filtering technique, edge detection in multi resolution with morphological operator and threshold decomposition for adaptive thresholding. From this, a correction procedure is applied that exploits maximum likelihood estimate as an objective function. Also, it acquires morphological features from the initial segmentation for constructing the likelihood parameter, after which the final segmentation results are obtained.