Integrative Biology Laboratory
Pioneer Fund Developmental Chair
S. Dasgupta, C.F. Stevens, S. Navlakha (2017). A neural algorithm for a fundamental computing problem. Science
A. Conn, U. V. Pedmale, J. Chory and S. Navlakha (2017). High-Resolution Laser Scanning Reveals Plant Architectures that Reflect Universal Network Design Principles. Cell Systems
A. Conn, U. Pedmale, J. Chory, C. F. Stevens and S. Navlakha (2017). A statistical description of plant shoot architecture. Current Biology
J. Y. Suen and S. Navlakha (2017). Using inspiration from synaptic plasticity rules to optimize traffic flow in distributed engineered networks. Neural Computation
S. Navlakha, X. He, C. Faloutsos, and Z. Bar-Joseph (2014). Topological properties of robust biological and computational networks. J. R. Soc. Interface, 11(96) 20140283.
S. Navlakha, J. Suhan, A.L. Barth, and Z. Bar-Joseph (2013). A high-throughput framework to detect synapses in electron microscopy images. Bioinformatics (Proc. 21st Intl. Conf. on Intelligent Systems for Molecular Biology and 12th European Conf. on Computational Biology, ISMB/ECCB), 29 (13): i9-i17.
S. Navlakha, A. Gitter, and Z. Bar-Joseph (2012). A network-based approach for predicting missing pathway interactions. PLoS Comput. Biol., 8, 8:e1002640.
S. Navlakha and Z. Bar-Joseph (2011). Algorithms in nature: the convergence of systems biology and computational thinking. Nature/EMBO Mol. Syst. Biol., 7:546. www.algorithmsinnature.org
S. Navlakha and C. Kingsford (2011). Network archaeology: uncovering ancient networks from present-day interactions. PLoS Comput. Biol., 7(4), e1001119.
S. Navlakha and C. Kingsford (2010). The power of protein interaction networks for associating genes with diseases. Bioinformatics, 26(8), 1057-1063.
S. Navlakha, M.C. Schatz, and C. Kingsford (2009). Revealing biological modules via graph summarization. J. Comp. Biol. (Proc. 5th Intl. Conf. on Research in Computational Molecular Biology Satellite Meeting, RECOMB Systems Biology 2008), 16(2), 253-264