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New algorithm can be a more effective way to analyze models of biological systems From biochemical reactions that produce cancers, to the latest memes virally spreading across social media, simple actions can generate complex behaviors. For researchers trying to understand these emergent behaviors, however, the complexity can tax current computational methods. Now, a team of researchers has developed a new algorithm that can serve as a more effective way to analyze models of biological systems, which in turn allows a new path to understanding the decision-making circuits that make up these systems. The researchers add that the algorithm will help scientists study how relatively simple actions lead to complex behaviors, such as cancer growth and voting patterns.

Tejeda zaEmily hendersonSemmelweis universityBroad instituteNetwork researchDana farber cancer instituteInstitute for computationalData sciencesPenn state eberly college of scienceJordan rozumPenn state eberly collegePenn stateComplex network researchதேஜெடா ஜஎமிலி ஹென்டர்சன்பரந்த நிறுவனம்