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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.

, , , , , и . BMC Bioinform., 20-S (16): 588:1-588:14 (2019)

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