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Detection of active transcription factor binding sites with the combination of DNase hypersensitivity and histone modifications., , , and . Bioinform., 30 (22): 3143-3151 (2014)Comparative study on proximity indices for cluster analysis of gene expression time series., , and . J. Intell. Fuzzy Syst., 13 (2-4): 133-142 (2002)Inferring differentiation pathways from gene expression., , , and . ISMB, page 156-164. (2008)Data complexity meta-features for regression problems., , , , and . Mach. Learn., 107 (1): 209-246 (2018)Validating Gene Clusterings by Selecting Informative Gene Ontology Terms with Mutual Information., , and . BSB, volume 4643 of Lecture Notes in Computer Science, page 81-92. Springer, (2007)A Symbolic Approach to Gene Expression Time Series Analysis., , and . SBRN, page 25-30. IEEE Computer Society, (2002)Predicting Gene Functions Using Semi-supervised Clustering Algorithms with Objective Function Optimization., , , and . SBRN, page 61-66. IEEE Computer Society, (2012)Deep learning-based clustering approaches for bioinformatics., , , , , , and . Briefings Bioinform., 22 (1): 393-415 (2021)The area under the ROC curve as a measure of clustering quality., , and . Data Min. Knowl. Discov., 36 (3): 1219-1245 (2022)Analyzing Gene Expression Time-Courses., , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 2 (3): 179-193 (2005)