In this paper, we propose a biclustering algorithm, called BiMine+, which is able to detect significant biclusters from gene expression data. The proposed ...

Biclustering is a very useful tool for analyzing microarray data. It aims to identify maximal groups of genes which are coherent with maximal groups of ...

In this paper, we propose a biclustering algorithm, called BiMine+, which is able to detect significant biclusters from gene expression data. The proposed ...

Biclustering algorithms simultaneously cluster both rows and columns. These types of algorithms are applied to gene expression data analysis to find a subset of ...

The proposed algorithm is based on two original features. First, BiMine + is based on the use of a new tree structure, called Modified Bicluster Enumeration ...

BiMine+ is an algorithm that discovers biclusters in microarray data. It is implemented in Java programming language. The BiMine+ ...

摘要. Biclustering is a very useful tool for analyzing microarray data. It aims to identify maximal groups of genes which are coherent with maximal groups ...

Jan 27, 2023 · BiMine+: An efficient algorithm for discovering relevant biclusters of DNA microarray data. Wassim Ayadi , Mourad Elloumi , Jin-Kao Hao (1).

We introduce BiMine, a new enumeration algorithm for biclustering of DNA microarray data. The proposed algorithm is based on three original features. First, ...

BiMine+: An efficient algorithm for discovering relevant biclusters of DNA microarray data. Biclustering is a very useful tool for analyzing microarray data.