Top-K Formal Concepts for Identifying Positively and Negatively Correlated Biclusters
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-78428-7_13
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1. AMoDeBic: An adaptive Multi-objective Differential Evolution biclustering algorithm of microarray data using a biclustering binary mutation operator;Expert Systems with Applications;2024-03
2. A Top-K formal concepts-based algorithm for mining positive and negative correlation biclusters of DNA microarray data;International Journal of Machine Learning and Cybernetics;2023-09-12
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