Classification of DNA microarrays using artificial neural networks and ABC algorithm

BA Garro, K Rodríguez, RA Vázquez - Applied Soft Computing, 2016 - Elsevier
DNA microarray is an efficient new technology that allows to analyze, at the same time, the
expression level of millions of genes. The gene expression level indicates the synthesis of …

Gene selection for high dimensional biological datasets using hybrid island binary artificial bee colony with chaos game optimization

M Nssibi, G Manita, A Chhabra, S Mirjalili… - Artificial Intelligence …, 2024 - Springer
Microarray technology, as applied to the fields of bioinformatics, biotechnology, and
bioengineering, has made remarkable progress in both the treatment and prediction of many …

Artificial neural network classification of microarray data using new hybrid gene selection method

R Aziz, CK Verma, M Jha… - International Journal of …, 2017 - inderscienceonline.com
This paper proposed a new combination of feature selection/extraction approach for Artificial
Neural Networks (ANNs) classification of high-dimensional microarray data, which uses an …

Training spiking neural models using artificial bee colony

RA Vazquez, BA Garro - Computational intelligence and …, 2015 - Wiley Online Library
Spiking neurons are models designed to simulate, in a realistic manner, the behavior of
biological neurons. Recently, it has been proven that this type of neurons can be applied to …

Improving pattern classification of DNA microarray data by using PCA and logistic regression

R Ocampo-Vega, G Sanchez-Ante… - Intelligent Data …, 2016 - content.iospress.com
DNA microarrays is a technology that can be used to diagnose cancer and other diseases.
To automate the analysis of such data, pattern recognition and machine learning algorithms …

Multi-objective artificial bee colony for designing multiple genes encoding the same protein

B Gonzalez-Sanchez, MA Vega-Rodríguez… - Applied Soft …, 2019 - Elsevier
The improvement of protein expression levels represents one of the most important goals in
synthetic biology. In order to accomplish it, a promising and widely-used strategy lies on …

Designing artificial neural networks using differential evolution for classifying DNA microarrays

BA Garro, K Rodríguez… - 2017 IEEE Congress on …, 2017 - ieeexplore.ieee.org
The information obtained from the analysis of DNA microarrays is relevant to identify and
predict illness, improve treatments, and to determine which genes are responsible to …

Breast Cancer Classification using Machine Learning Algorithm

D Anu, K Vidhya - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Around the globe in this era breast cancer is the most common disease among women,
previously detection of breast cancer was a long and tedious process. In the proposed …

Generalized neurons and its application in DNA microarray classification

BA Garro, K Rodríguez… - 2016 IEEE Congress on …, 2016 - ieeexplore.ieee.org
The DNA Microarray classification is an important task in bioinformatics and medicine area.
The genetic expression in DNA microarrays present the opportunity to determine for …

Determining cell, tissue, or lesion representations in cell-free dna

K Rhrissorrakrai, U Filippo, C Levovitz… - US Patent App. 16 …, 2021 - Google Patents
BACKGROUND [0001] The present invention generally relates to comput ing systems, and
more specifically, to computer systems, computer-implemented methods, and computer …