Graph summarization with bounded error S Navlakha, R Rastogi, N Shrivastava Proceedings of the 2008 ACM SIGMOD international conference on Management of …, 2008 | 358 | 2008 |
The power of protein interaction networks for associating genes with diseases S Navlakha, C Kingsford Bioinformatics 26 (8), 1057-1063, 2010 | 346 | 2010 |
Algorithms in nature: the convergence of systems biology and computational thinking S Navlakha, Z Bar‐Joseph Molecular systems biology 7 (1), 546, 2011 | 121 | 2011 |
Ten-hour time-restricted eating reduces weight, blood pressure, and Atherogenic lipids in patients with metabolic syndrome MJ Wilkinson, ENC Manoogian, A Zadourian, H Lo, S Fakhouri, A Shoghi, ... Cell Metabolism 31 (1), 92-104. e5, 2020 | 115 | 2020 |
A neural algorithm for a fundamental computing problem S Dasgupta, CF Stevens, S Navlakha Science 358 (6364), 793-796, 2017 | 109 | 2017 |
Distributed information processing in biological and computational systems S Navlakha, Z Bar-Joseph Communications of the ACM 58 (1), 94-102, 2015 | 104 | 2015 |
Alignment and clustering of phylogenetic markers-implications for microbial diversity studies JR White, S Navlakha, N Nagarajan, MR Ghodsi, C Kingsford, M Pop BMC bioinformatics 11 (1), 152, 2010 | 95 | 2010 |
Revealing biological modules via graph summarization S Navlakha, MC Schatz, C Kingsford Journal of Computational Biology 16 (2), 253-264, 2009 | 87 | 2009 |
Network archaeology: uncovering ancient networks from present-day interactions S Navlakha, C Kingsford PLoS Comput Biol 7 (4), e1001119, 2011 | 76 | 2011 |
Link prediction for annotation graphs using graph summarization A Thor, P Anderson, L Raschid, S Navlakha, B Saha, S Khuller, XN Zhang International Semantic Web Conference, 714-729, 2011 | 51 | 2011 |
Decreasing-Rate Pruning Optimizes the Construction of Efficient and Robust Distributed Networks S Navlakha, AL Barth, Z Bar-Joseph PLOS Comput Biol 11 (7), e1004347, 2015 | 41 | 2015 |
Predicting age from the transcriptome of human dermal fibroblasts JG Fleischer, R Schulte, HH Tsai, S Tyagi, A Ibarra, MN Shokhirev, ... Genome Biology 19 (1), 221, 2018 | 40 | 2018 |
A network-based approach for predicting missing pathway interactions S Navlakha, A Gitter, Z Bar-Joseph PLoS Comput Biol 8 (8), e1002640-e1002640, 2012 | 31 | 2012 |
Exploring biological network dynamics with ensembles of graph partitions. S Navlakha, C Kingsford Pacific Symposium on Biocomputing 15, 166-177, 2010 | 27 | 2010 |
A Statistical Description of Plant Shoot Architecture A Conn, UV Pedmale, J Chory, CF Stevens, S Navlakha Current Biology 27 (14), 2078-2088. e3, 2017 | 24 | 2017 |
A high-throughput framework to detect synapses in electron microscopy images S Navlakha, J Suhan, AL Barth, Z Bar-Joseph Bioinformatics 29 (13), i9-i17, 2013 | 24 | 2013 |
Finding biologically accurate clusterings in hierarchical tree decompositions using the variation of information S Navlakha, J White, N Nagarajan, M Pop, C Kingsford Research in Computational Molecular Biology, 400-417, 2009 | 24 | 2009 |
High-resolution laser scanning reveals plant architectures that reflect universal network design principles A Conn, UV Pedmale, J Chory, S Navlakha Cell Systems 5 (1), 53-62. e3, 2017 | 23 | 2017 |
Finding biologically accurate clusterings in hierarchical tree decompositions using the variation of information S Navlakha, J White, N Nagarajan, M Pop, C Kingsford Journal of Computational Biology 17 (3), 503-516, 2010 | 23 | 2010 |
Parsimonious reconstruction of network evolution. R Patro, E Sefer, J Malin, G Marçais, S Navlakha, C Kingsford Algorithms for Molecular Biology 7 (1), 2012 | 21 | 2012 |