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Multiscale graph theoretical tools reveal subtle patterns in big geospatial data.

, , , and . IEEE BigData, page 3422-3425. IEEE Computer Society, (2017)

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Serendipitous discoveries in microarray analysis., , , , , , and . BMC Bioinform., 11 (S-4): P24 (2010)The maximum clique enumeration problem: algorithms, applications, and implementations., , , and . BMC Bioinform., 13 (S-10): S5 (2012)Scalable multipartite subgraph enumeration for integrative analysis of heterogeneous experimental functional genomics data., , , , , and . BCB, page 626-633. ACM, (2015)Multiscale graph theoretical tools reveal subtle patterns in big geospatial data., , , and . IEEE BigData, page 3422-3425. IEEE Computer Society, (2017)Compound Analytics using Combinatorics for Feature Selection: A Case Study in Biomarker Detection., , , , and . IPDPS Workshops, page 262-267. IEEE, (2019)On Finding and Enumerating Maximal and Maximum k-Partite Cliques in k-Partite Graphs., , , , , and . Algorithms, 12 (1): 23 (2019)A robustness metric for biological data clustering algorithms., , and . BMC Bioinform., 20-S (15): 503 (2019)The Maximum Clique Enumeration Problem: Algorithms, Applications and Implementations., , , and . ISBRA, volume 6674 of Lecture Notes in Computer Science, page 306-319. Springer, (2011)Towards Controllability Analysis of Dynamic Networks Using Minimum Dominating Set., , , , and . FUSION, page 1-5. IEEE, (2020)Classification and Anomaly Detection in Traffic Patterns of New York City Taxis: A Case Study in Compound Analytics., , , and . IPDPS Workshops, page 1169-1174. IEEE Computer Society, (2018)