15 papers · ranked by Valyu relevance
Itamar José Guimarães Nunes, Mariana Recamonde-Mendoza, Bruno César Feltes
fast, versatile and ready-to-use microarray analysis platform Authors: ['Itamar José Guimarães Nunes' 'Mariana Recamonde-Mendoza' 'Bruno César Feltes'] Title: Abstract There are still numerous challenges to be overcome in microarray data analysis because advanced, state-of-the-art analyses are restricted to programming…
Jingeun Kim, Yourim Yoon, Hye-Jin Park, Yong-Hyuk Kim + 1 more
Microarrays are applications of electrical engineering and technology in biology that allow simultaneous measurement of expression of numerous genes, and they can be used to analyze specific diseases. This study undertakes classification analyses of various microarrays to compare the performances of classification…
Fadi Alharbi, Aleksandar Vakanski, Larbi Boubchir
Cancer is a term that denotes a group of diseases caused by the abnormal growth of cells that can spread in different parts of the body. According to the World Health Organization (WHO), cancer is the second major cause of death after cardiovascular diseases. Gene expression can play a fundamental role in the early…
Luca Visentin, Giorgia Scarpellino, Giorgia Chinigò, Luca Munaron + 3 more
'Federico Alessandro Ruffinatti' 'Ioannis Michalopoulos' 'Apostolos Malatras'] Simple Summary Researchers are often interested in detecting whether there are any differences in gene expression levels between two types of cells. To do this, gene expression levels are measured, and specific computer programs are used to…
Giuseppe Agapito, Marianna Milano, Mario Cannataro, Quan Zou
Gene expression and SNPs data hold great potential for a new understanding of disease prognosis, drug sensitivity, and toxicity evaluations. Cluster analysis is used to analyze data that do not contain any specific subgroups. The goal is to use the data itself to recognize meaningful and informative subgroups. In…
Hatim Z Almarzouki
The quantity of data required to give a valid analysis grows exponentially as machine learning dimensionality increases. In a single experiment, microarrays or gene expression profiling assesses and determines gene expression levels and patterns in various cell types or tissues. The advent of DNA microarray technology…
Kristina Lietz, Babak Saremi, Lena Wiese
Background Gene expression profiling is a widely adopted method in areas like drug development or functional gene analysis. Microarray data of gene expression experiments is still commonly used and widely available for retrospective analyses. However, due to to changes of the underlying technologies data sets from…
Kai O. Kreissner, Benjamin Faller, Ivan Talucci, Hans M. Maric
Background: Microarray technology has brought significant advancements to high-throughput analysis, particularly in the comprehensive study of biomolecular interactions involving proteins, peptides, and antibodies, as well as in the fields of gene expression and genotyping. With the ever-increasing volume and intricacy…
Mahmoud M. Abdelwahab, Khamis A. Al-Karawi, Hatem E. Semary, Natalia V. Gulyaeva
'Natalia V. Gulyaeva'] Alzheimer’s disease is a genetically complex disorder, and microarray technology provides valuable insights into it. However, the high dimensionality of microarray datasets and small sample sizes pose challenges. Gene selection techniques have emerged as a promising solution to this challenge…
A S Escobedo-Muñoz, Diego Carmona-Campos, Armando G G Trapaga, Julio A Freyre-González
The Gene Expression Omnibus (GEO) is the largest functional genomics repository, including ~5 million entries related to the main transcriptomic technologies: microarrays and RNA-seq. This amount of data has the potential to be reused in large-scale meta-analysis, such as those in bacterial systems biology, where the…
Lance M. O’Connor, Blake A. O’Connor, Jialiu Zeng, Chih Hung Lo + 3 more
'Rodrigo Pena' 'Paulo R. Protachevicz' 'Ricardo F. Ferreira'] Data mining involves the computational analysis of a plethora of publicly available datasets to generate new hypotheses that can be further validated by experiments for the improved understanding of the pathogenesis of neurodegenerative diseases. Although…
Kalaiyarasi Mani, Harikumar Rajaguru
Prostate cancer is a major world health problem for men. This shows how important early detection and accurate diagnosis are for better treatment and patient outcomes. This study compares different ways to find Prostate Cancer (PCa) and label tumors as normal or abnormal, with the goal of speeding up current work in…
Nikita Bhandari, Rahee Walambe, Ketan Kotecha, Satyajeet P. Khare
Computational analysis methods including machine learning have a significant impact in the fields of genomics and medicine. High-throughput gene expression analysis methods such as microarray technology and RNA sequencing produce enormous amounts of data. Traditionally, statistical methods are used for comparative…
Karthika M S, Harikumar Rajaguru, Ajin R. Nair, Antonio Brunetti
Microarray gene expression-based detection and classification of medical conditions have been prominent in research studies over the past few decades. However, extracting relevant data from the high-volume microarray gene expression with inherent nonlinearity and inseparable noise components raises significant…
Ajin R. Nair, Harikumar Rajaguru, M. S. Karthika, C. Keerthivasan
The microarray gene expression data poses a tremendous challenge due to their curse of dimensionality problem. The sheer volume of features far surpasses available samples, leading to overfitting and reduced classification accuracy. Thus the dimensionality of microarray gene expression data must be reduced with…