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Cell Subtype Classification via Representation Learning Based on a Denoising Autoencoder for Single-Cell RNA Sequencing., , and . IEEE Access, (2021)Correction to Ä Non-Negative Matrix Factorization Based Framework for the Analysis of Multi-Class Time-Series Single-Cell RNA-Seq Data"., , and . IEEE Access, (2021)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)Integration of heterogeneous time series gene expression data by clustering on time dimension., , , and . BigComp, page 332-335. IEEE, (2017)EGGSlicer: predicting biologically meaningful gene sets from gene clusters using gene ontology information., , , and . BCB, page 448-450. ACM, (2010)Transitioning BioVLab cloud workbench to a science gateway., , , , , and . TG, page 40:1-40:2. ACM, (2011)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)BiSpark: a Spark-based highly scalable aligner for bisulfite sequencing data., , and . BMC Bioinform., 19 (1): 472:1-472:9 (2018)A Non-Negative Matrix Factorization-Based Framework for the Analysis of Multi-Class Time-Series Single-Cell RNA-Seq Data., , and . IEEE Access, (2020)BioVLAB-MMIA-NGS: microRNA-mRNA integrated analysis using high-throughput sequencing data., , , and . Bioinform., 31 (2): 265-267 (2015)