Sentence examples for mine biclusters from from inspiring English sources

JL design DMOBIO to mine biclusters from gene expression data and drafted the manuscript.

JL was primarily responsible for the design of MODMSFLB to mine biclusters from gene expression data and drafted the manuscript.

We propose a dynamic MOIO biclustering algorithm (DMOIOB) to mine biclusters from the microarray datasets to attain the global optimum solutions.

This paper applies the proposed DMOIOB algorithm to mine biclusters from two well known datasets and compare the diversity and convergence of the DMOIOB algorithm with MOIB algorithm.

We incorporates dynamic population strategy into multi-objective shuffled frog leaping biclustering (MOSFLB) [ 38] algorithm, and propose a multi-objective dynamic population shuffled frog-leaping biclustering (MODPSFLB) to mine biclusters from the microarray datasets to attain the global optimum solutions.

To obtain the diversity of optimal solution, we apply the proposed MODPSFLB algorithm to mine biclusters from two well known datasets and compare the diversity and convergence of the algorithm with MOEB, MOPSOB [ 40] and MOSFLB algorithm.

This paper proposes a novel multi-objective dynamic population shuffled frog-leaping biclustering framework for mining biclusters from microarray datasets.

This paper has provided a novel dynamic multi-objective immune optimization biclustering framework for mining biclusters from microarray datasets.

However when mining biclusters from microarray data, we must optimize simultaneously several objectives in conflict with each other, for example, the size and the homogeneity of the clusters.

Coelho [ 14] combines the multi-population of aiNet and the biclustering techniques, and proposes MOM-aiNet (Multi-Objective Multi-population Artificial Immune Network) algorithm to mining biclusters.

In this paper, instead of clustering the summary graph and then extracting the highly co-occurring edge sets as in CODENSE [ 4] or mining biclusters then finding (highly -connected components ([ 7, 8]), we propose an algorithighly -connectedng of modules from multiple gene expression datasets.