Classification of the senescence-accelerated mouse (SAM) strains with its behaviour using deep learning
Microarray technology is a novel method to monitor the levels of expression of a huge
number of genes simultaneously. this study aims at (1) identifying the most important genes …
number of genes simultaneously. this study aims at (1) identifying the most important genes …
Classification of gene expression dataset for type 1 diabetes using machine learning methods
N AlRefaai, SZ AlRashid - Bulletin of Electrical Engineering and Informatics, 2023 - beei.org
Abstract Type 1 diabetes (T1D) disease is considered one of the most prevalent chronic
diseases in the world, it causes a high level of glucose in the human blood. Despite the …
diseases in the world, it causes a high level of glucose in the human blood. Despite the …
Using alignment-free methods as preprocessing stage to classification whole genomes
NAA Shanan, HA Lafta… - International Journal of …, 2021 - ijnaa.semnan.ac.ir
In bioinformatics systems, the study of genetics is a popular research discipline. These
systems depend on the amount of similarity between the biological data. These data are …
systems depend on the amount of similarity between the biological data. These data are …
[PDF][PDF] Bacteria taxonomic classification using machine learning models
NAA Shanan, HA Lafta, Z Sura, S Al_Rashid - Solid State Technol, 2021 - researchgate.net
Classification of taxonomic for genomic sequences is commonly depended on evolutionary
distance acquired by alignment methods. alignment-free method introduced based on …
distance acquired by alignment methods. alignment-free method introduced based on …
Collaborative Computing-Based K-Nearest Neighbour Algorithm and Mutual Information to Classify Gene Expressions for Type 2 Diabetes
SZ Al Rashid - International Journal of e-Collaboration (IJeC), 2022 - igi-global.com
The classification process is used in gene expression data on venous endothelial cells of
umbilical cords in humans to reveal the concepts of regulation of insulin using dynamic gene …
umbilical cords in humans to reveal the concepts of regulation of insulin using dynamic gene …
Gene Expression Dataset Classification Using Machine Learning Methods: A Survey
N AlRefaai, SZ Al-Rashid - 2022 8th International Conference …, 2022 - ieeexplore.ieee.org
The process of converting the instructions in the DNA of human beings into a functional
product such as proteins is called gene expression. Gene expression is an organized …
product such as proteins is called gene expression. Gene expression is an organized …
Predicting the behaviour of the senescence-accelerated mouse (Sam) strains (samps and samr) using machine learning algorithm
SZ Al_Rashid - International Journal of Nonlinear Analysis and …, 2020 - ijnaa.semnan.ac.ir
A primary aspect of human aging is progressive neurological dysfunction. Due to the
fundamental variations in aging in mice and humans, it is difficult to obtain and research …
fundamental variations in aging in mice and humans, it is difficult to obtain and research …
Effects of Different Vaccines on Genetic Immune and Antibody Response Using Machine Learning methods
N Husham, S Zaki - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Machine learning models have shown promising results in analyzing genetic, immune, and
antibody responses to vaccines. Studies have identified certain genes consistently activated …
antibody responses to vaccines. Studies have identified certain genes consistently activated …