Optimization of dynamic bi-clustering based on improved genetic algorithm for microarray data
Due to the nature of microarray data, the analysis of genes/features for disease diagnosis is
a challenging task. Generally, the data comes in the form of a 2D matrix, where the row …
a challenging task. Generally, the data comes in the form of a 2D matrix, where the row …
MSR-based algorithms for biclustering of microarray gene expression data.
R Balamurugan, SP Raja - Current Science (00113891), 2022 - search.ebscohost.com
Biclustering plays a vital role in the analysis of gene expression data. The biclustering
technique was proposed in the year 2000. For the past two decades, several biclustering …
technique was proposed in the year 2000. For the past two decades, several biclustering …
[PDF][PDF] A Review of the Family of Artificial Fish Swarm Algorithms: Recent Advances and Applications
F Pourpanaha, R Wanga, CP Limd… - arXiv preprint arXiv …, 2020 - academia.edu
Abstract The Artificial Fish Swarm Algorithm (AFSA) is inspired by the ecological behaviors
of fish schooling in nature, viz., the preying, swarming, following and random behaviors …
of fish schooling in nature, viz., the preying, swarming, following and random behaviors …
[引用][C] MSR based algorithms for biclustering of microarray gene expression data: a review
R Balamurugana, SP Rajab