Fig. 1: Overview of FDRnet, proposed by Yang and colleagues. | Nature Computational Science

Fig. 1: Overview of FDRnet, proposed by Yang and colleagues.

From: Redefining false discoveries in cancer data analyses

Fig. 1

Gene scores, representing the likelihood of individual genes of being cancer drivers (or any other quantitative measurement), are computed with an empirical Bayesian method and projected on the reference network. a, Based on these scores, a set of seed nodes is identified; for each seed node, the algorithm assembles a number of random walks and computes a PageRank vector with an entry for each node in the network. b,c, Neighborhoods of the seed nodes are identified (b) by considering only the nodes with highest PageRank scores and put forward for a further optimization phase (c) where the reward function accounts for conductance (a metric of network connectivity) and false discovery rate.

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