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Semi-supervised Embedding for Scalable and Accurate Time Series Clustering., , , and . IEEE Big Data, page 942-951. IEEE, (2022)sJIVE: Supervised Joint and Individual Variation Explained., , , , , and . CoRR, (2021)NetSHy: network summarization via a hybrid approach leveraging topological properties., , , , , , , and . Bioinform., (January 2023)The discordant method: a novel approach for differential correlation., , and . Bioinform., 32 (5): 690-696 (2016)sJIVE: Supervised joint and individual variation explained., , , , , and . Comput. Stat. Data Anal., (2022)TreeKernel: interpretable kernel machine tests for interactions between -omics and clinical predictors with applications to metabolomics and COPD phenotypes., , , , and . BMC Bioinform., 24 (1): 398 (December 2023)Analyzing networks of phenotypes in complex diseases: methodology and applications in COPD., , , , , , , , , and 1 other author(s). BMC Syst. Biol., (2014)The discordant method: a novel approach for differential correlation., , and . Bioinform., 33 (1): 150 (2017)MSPrep - Summarization, normalization and diagnostics for processing of mass spectrometry-based metabolomic data., , , , , , , and . Bioinform., 30 (1): 133-134 (2014)PaIRKAT: A pathway integrated regression-based kernel association test with applications to metabolomics and COPD phenotypes., , , , , , , and . PLoS Comput. Biol., (2021)