Skip to main content
Advertisement

< Back to Article

Computational discovery of dynamic cell line specific Boolean networks from multiplex time-course data

Fig 3

Boolean Network of breast cancer cell lines.

The aggregated graph for all cell lines. Blue, red, green and orange edges are used for each cell line BT20, BT549, MCF7 and UACC812, respectively. The nodes are connected by logic gates (AND or OR) to their direct predecessors. Edges are used to show influences (→ for positive and ⊣ for negative). An AND gate is depicted by a small black circle where the incoming edges correspond to the inputs of the gate. An OR gate is depicted by multiple incoming edges to the node. A different color scheme is used to represent different types of nodes. The green color is for stimuli, the red for inhibitors, the blue for readouts, and the white for unobserved nodes. Black edges denote common hyper-edges across cell lines; the thickness of the black hyper-edge denotes the number of cell lines sharing this hyper-edge.

Fig 3

doi: https://doi.org/10.1371/journal.pcbi.1006538.g003