Type2 soft biclustering framework for Alzheimer microarray

ZM Husseini, MHF Zarandi, A Ahmadi - Applied Soft Computing, 2024 - Elsevier
Microarray technology is a powerful tool that enables simultaneous analysis of the
expression level of a large number of genes for different samples. Reliable information on …

Adaptive type2-possibilistic C-means clustering and its application to microarray datasets

Z Moattar Husseini, MH Fazel Zarandi… - Artificial Intelligence …, 2023 - Springer
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 …

A new hybrid cuckoo search algorithm for biclustering of microarray gene-expression data

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 …

Soft flexible overlapping biclustering utilizing hybrid search strategies

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 …

Finding correlated bicluster from gene expression data of Alzheimer disease using FABIA biclustering method

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 …

[Retracted] Healthcare Biclustering‐Based Prediction on Gene Expression Dataset

M Ramkumar, N Basker, D Pradeep… - BioMed Research …, 2022 - Wiley Online Library
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 …

Comparative analysis and evaluation of biclustering algorithms for microarray data

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 …

A multi-objective biclustering algorithm based on fuzzy mathematics

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 …

A modified harmony search method for biclustering microarray gene expression data

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 …

Ensemble biclustering gene expression data based on the spectral clustering

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 …