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HTRgene: Integrating Multiple Heterogeneous Time-series Data to Investigate Cold and Heat Stress Response Signaling Genes in Arabidopsis.

, , , , , and . BIBM, page 393-398. IEEE Computer Society, (2018)

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IDEA: Integrating Divisive and Ensemble-Agglomerate hierarchical clustering framework for arbitrary shape data., , , , , and . IEEE BigData, page 2791-2800. IEEE, (2021)Ensemble Learning to Identify Depression Indicators for Korean Farmers., , , , and . IEEE Access, (2023)TimesVector: a vectorized clustering approach to the analysis of time series transcriptome data from multiple phenotypes., , , , , and . Bioinform., 33 (23): 3827-3835 (2017)HTRgene: Integrating Multiple Heterogeneous Time-series Data to Investigate Cold and Heat Stress Response Signaling Genes in Arabidopsis., , , , , and . BIBM, page 393-398. IEEE Computer Society, (2018)DeepFunNet: Deep Learning for Gene Functional Similarity Network Construction., , and . BigComp, page 1-8. IEEE, (2019)Integration of heterogeneous time series gene expression data by clustering on time dimension., , , and . BigComp, page 332-335. IEEE, (2017)Identifying stress-related genes and predicting stress types in Arabidopsis using logical correlation layer and CMCL loss through time-series data., , , , , , and . BIBM, page 399-404. IEEE Computer Society, (2018)HTRgene: a computational method to perform the integrated analysis of multiple heterogeneous time-series data: case analysis of cold and heat stress response signaling genes in Arabidopsis., , , , , and . BMC Bioinform., 20-S (16): 588:1-588:14 (2019)