Microarray technology is an important innovation that simultaneously facilitates measuring the expression level for thousands of genes in different samples. One basic and widely used …
R Balamurugan, AM Natarajan… - Applied Artificial …, 2018 - Taylor & Francis
Biclustering in gene-expression data is a subset of the genes demonstrating consistent patterns over a subset of the conditions. Recently, the most of research in biclustering …
MA Mahfouz, MA Ismail - … , AMLTA 2012, Cairo, Egypt, December 8-10 …, 2012 - Springer
Biclustering is powerful data mining technique that allows identifying groups of genes which are co-regulated and co-expressed under a subset of conditions for analyzing gene …
N Setyaningrum, A Bustamam… - AIP Conference …, 2019 - pubs.aip.org
Alzheimer's is a disease chronic neuro-degenerative progressive disorder in the adult human brain that tends to be old and which causes memory, thought and behavior problems …
In this paper, we develop a healthcare biclustering model in the field of healthcare to reduce the inconveniences linked to the data clustering on gene expression. The present study …
A Maind, S Raut - … and Data Knowledge Engineering: Volume 2, 2018 - Springer
From the last decade, the concept of biclustering becomes very popular for the analysis of gene expression data. This is because of the advantages of biclustering algorithms over the …
X Zhu, J Qiu, M Xie, J Wang - Neurocomputing, 2017 - Elsevier
Biclustering algorithm is to cluster in the horizontal and vertical directions simultaneously in matrix. This algorithm identifies a set of sub-matrix by adopting a greedy iterative strategy …
R Balamurugan, AM Natarajan… - … Journal of Data …, 2016 - inderscienceonline.com
Microarray experiments generate vast amounts of data, leading to new requirements and challenges for bioinformatics. The crucial step in considering gene expression data is to …
L Yin, Y Liu - Neural Computing and Applications, 2018 - Springer
Many biclustering algorithms and bicluster criteria have been proposed in analyzing the gene expression data. However, there are no clues about the choice of a specific …