A comprehensive review on nature inspired computing algorithms for the diagnosis of chronic disorders in human beings
Diabetes and cancer are two major life-threatening human chronic disorders that have a
high rate of disability and mortality. These diseases have been diagnosed using different …
high rate of disability and mortality. These diseases have been diagnosed using different …
Gene selection and classification of microarray data method based on mutual information and moth flame algorithm.
Several techniques or methods may help in detecting diseases and cancer. Creating an
effective method for extracting disease information is one of the major challenges in the …
effective method for extracting disease information is one of the major challenges in the …
A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data
R Tabares-Soto, S Orozco-Arias… - PeerJ Computer …, 2020 - peerj.com
Cancer classification is a topic of major interest in medicine since it allows accurate and
efficient diagnosis and facilitates a successful outcome in medical treatments. Previous …
efficient diagnosis and facilitates a successful outcome in medical treatments. Previous …
[PDF][PDF] Systematic review of enhancement of artificial bee colony algorithm using ant colony pheromone
The artificial bee colony (ABC) is a well-studied algorithm developed to solve continuous
function optimization problems by Karboga and Akay in 2009. ABC has been proven to be …
function optimization problems by Karboga and Akay in 2009. ABC has been proven to be …
A novel gene selection algorithm for cancer classification using microarray datasets
R Alanni, J Hou, H Azzawi, Y Xiang - BMC medical genomics, 2019 - Springer
Background Microarray datasets are an important medical diagnostic tool as they represent
the states of a cell at the molecular level. Available microarray datasets for classifying cancer …
the states of a cell at the molecular level. Available microarray datasets for classifying cancer …
[HTML][HTML] Gene selection for tumor classification using a novel bio-inspired multi-objective approach
Identifying the informative genes has always been a major step in microarray data analysis.
The complexity of various cancer datasets makes this issue still challenging. In this paper, a …
The complexity of various cancer datasets makes this issue still challenging. In this paper, a …
Machine learning-based IoT system for COVID-19 epidemics
The planet earth has been facing COVID-19 epidemic as a challenge in recent time. It is
predictable that the world will be fighting the pandemic by taking precautions steps before …
predictable that the world will be fighting the pandemic by taking precautions steps before …
MGRFE: multilayer recursive feature elimination based on an embedded genetic algorithm for cancer classification
C Peng, X Wu, W Yuan, X Zhang… - … /ACM transactions on …, 2019 - ieeexplore.ieee.org
Microarray gene expression data have become a topic of great interest for cancer
classification and for further research in the field of bioinformatics. Nonetheless, due to the …
classification and for further research in the field of bioinformatics. Nonetheless, due to the …
A gene selection algorithm for microarray cancer classification using an improved particle swarm optimization
Gene selection is an essential step for the classification of microarray cancer data. Gene
expression cancer data (deoxyribonucleic acid microarray] facilitates in computing the …
expression cancer data (deoxyribonucleic acid microarray] facilitates in computing the …
A new multi-objective binary Harris Hawks optimization for gene selection in microarray data
Cancer classification is one of the main applications of gene expression data (microarray
data) and is essential for a comprehensive diagnosis of cancer treatment. Therefore, bio …
data) and is essential for a comprehensive diagnosis of cancer treatment. Therefore, bio …