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…
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…
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…
George I. Lambrou, Myrto Poulou, Krinio Giannikou, Marios Themistocleous + 4 more
'Marios Themistocleous' 'Apostolos Zaravinos' 'Maria Braoudaki' 'David Wong' 'Francesca Orso'] Simple Summary Epigenetic mechanisms, that are modifications of the genome without the presence of mutations, are known to play a crucial role in central nervous system (CNS) tumors during childhood. Two well-known epigenetic…
Hanaa Fathi, Hussain AlSalman, Abdu Gumaei, Ibrahim I. M. Manhrawy + 2 more
'Abdelazim G. Hussien' 'Passent El-Kafrawy'] Cancer can be considered as one of the leading causes of death widely. One of the most effective tools to be able to handle cancer diagnosis, prognosis, and treatment is by using expression profiling technique which is based on microarray gene. For each data point (sample)…
Anna D. Katsiki, Pantelis E. Karatzas, Hector-Xavier De Lastic, Alexandros G. Georgakilas + 3 more
Simple Summary DExplore is a user-friendly web application addressing challenges in analyzing mRNA microarray experiments for gene expression profiling. For over fifteen years, microarray experiments have played a vital role in understanding gene expression in various conditions. DExplore, built with the R programming…
Vasileios L. Zogopoulos, Georgia Saxami, Apostolos Malatras, Konstantinos Papadopoulos + 4 more
Simple Summary Genes whose expression levels rise and fall similarly in a large set of samples, may be considered coexpressed. Gene coexpression analysis refers to the en masse discovery of coexpressed genes from a large variety of transcriptomic experiments. The type of biological networks that studies gene…
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…
Isaac D. Raplee, Samiksha A. Borkar, Li Yin, Guglielmo M. Venturi + 6 more
'Jerry Shen' 'Kai-Fen Chang' 'Upasana Nepal' 'John W. Sleasman' 'Maureen M. Goodenow' 'Alexander Bolshoy'] Gene expression analysis is crucial in understanding cellular processes, development, health, and disease. With RNA-seq outpacing microarray as the chosen platform for gene expression, is there space for array…
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…
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…
Guangyao Shao, Qi Zhao
Acute myocardial infarction (AMI) is a common cardiovascular disease and is one of the most prevalent cardiovascular diseases. Acute myocardial infarction strongly correlates with the immune system . Acute myocardial infarction is associated with inflammation of the patient’s epicardial coronary arteries. It has been…
Vasileios L. Zogopoulos, Apostolos Malatras, Ioannis Michalopoulos
The most common approach in transcriptomics (RNA-seq and microarrays) is differential gene expression analysis (DGEA). Differentially expressed genes (DEGs) may be responsible for phenotypic differences between various biological conditions. An alternative approach is gene coexpression analysis, which detects groups of…
Cong Fu, Kun Yang, Yuqing Zou, Ran Huo
Infantile hemangiomas (IHs) are the most frequent vascular tumors that occur during infancy. Microribonucleic acids (miRNAs) have been demonstrated as critical regulators of gene expression in various diseases. However, the function of miRNAs in IH still remains largely unknown. In the present study, we performed a…
Essam H. Houssein, Hager N. Hassan, Nagwan Abdel Samee, Mona M. Jamjoom + 2 more
'Mona M. Jamjoom' 'Dechang Chen' 'Wei Shao'] It is crucial to accurately categorize cancers using microarray data. Researchers have employed a variety of computational intelligence approaches to analyze gene expression data. It is believed that the most difficult part of the problem of cancer diagnosis is determining…