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Arjun Chandrasekhar

Affiliations: 
Salk Institute for Biological Studies, and University of California, San Diego 
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Saket Navlakha grad student Salk Institute for Biological Studies, and University of California, San Diego

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Chandrasekhar A, Julkowska MM. (2022) A Mathematical Framework for Analyzing Wild Tomato Root Architecture. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 29: 306-316
Chandrasekhar A, Marshall JAR, Austin C, et al. (2021) Better tired than lost: Turtle ant trail networks favor coherence over short edges. Plos Computational Biology. 17: e1009523
Conn A, Chandrasekhar A, Rongen MV, et al. (2019) Network trade-offs and homeostasis in Arabidopsis shoot architectures. Plos Computational Biology. 15: e1007325
Chandrasekhar A, Navlakha S. (2019) Neural arbors are Pareto optimal. Proceedings. Biological Sciences. 286: 20182727
Chandrasekhar A, Gordon DM, Navlakha S. (2018) A distributed algorithm to maintain and repair the trail networks of arboreal ants. Scientific Reports. 8: 9297
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