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When prioritizing hits from a high-throughput experiment, it is important to correct for random events that falsely appear significant. How is this done and what methods should be used?
Networks in biology can appear complex and difficult to decipher. Merico et al. illustrate how to interpret biological networks with the help of frequently used visualization and analysis patterns.