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Analysis of complexity indices for classification problems: Cancer gene expression data.

, , , and . Neurocomputing, 75 (1): 33-42 (2012)

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Comparative study on proximity indices for cluster analysis of gene expression time series., , and . Journal of Intelligent and Fuzzy Systems, 13 (2-4): 133-142 (2002)On the Complexity of Gene Marker Selection., , , and . SBRN, page 85-90. IEEE Computer Society, (2010)Analysis of complexity indices for classification problems: Cancer gene expression data., , , and . Neurocomputing, 75 (1): 33-42 (2012)Detection of active transcription factor binding sites with the combination of DNase hypersensitivity and histone modifications., , , and . Bioinformatics, 30 (22): 3143-3151 (2014)Data complexity meta-features for regression problems., , , , and . Machine Learning, 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)Inferring differentiation pathways from gene expression., , , and . ISMB, page 156-164. (2008)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)Classifying short gene expression time-courses with Bayesian estimation of piecewise constant functions., , , and . Bioinformatics, 27 (7): 946-952 (2011)