Definition: A microarray is a small, flat substrate carrying an ordered grid of microscopic probe features, each containing a known biological molecule, that is used to measure many molecular targets ...

The goal of this analysis is to: Identify differentially expressed genes (DEGs) between PD patients and controls Perform gene set enrichment analysis (GSEA) Infer cell-type proportions using ...

Abstract: Gene selection, cancer classification and functional gene classification are three main concerns and interests by biologists for cancer detection, cancer classification, and understanding ...

Abstract: Feature selection in genome data faces the challenge of high dimensionality of variables. When the goal of analytics is to identify susceptible loci for complex disease, interaction effects ...

Background: Microarray technology has brought significant advancements to high-throughput analysis, particularly in the comprehensive study of biomolecular interactions involving proteins, peptides, ...

Department of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan ...

This program implements the original RankComp and the RankCompV2 algorithms to detect the dysregulated genes. It is applicable to gene expression, methylation and other gene microarray data sets. Both ...

Cancer is one of the top causes of death globally. Recently, microarray gene expression data has been used to aid in cancer’s effective and early detection. The use of DNA microarray technology to ...

Novel Insight Into the Association Between Obesity and Hepatocellular Carcinoma Occurrence and Recurrence: High-Throughput Microarray Data Set Analysis of Differentially Expressed Genes For central ...

cFDNA characteristics in transitional cell carcinoma (TCC) patients who achieved complete response to checkpoint inhibitors (CPI). Table 1. DEmiRs able to cluster accordingly with metastatic status ...

Serial analysis of gene expression (SAGE) uses mRNA from a sample to create complementary DNA (cDNA) fragments for amplification and sequencing using high-throughput sequencing technology. Credit: ...

ABSTRACT: The conventional form of statistical simulation proceeds by selecting a few models and generating hundreds or thousands of data sets from each model. This article investigates a different ...