Microarrays Market Size to Accumulate Around USD 10.72 Billion by 2033, Driven by Expanding Genomics Research and Advanced Diagnostic Adoption – SNS Insider

The Global Microarrays Market is expected to grow at a CAGR of 7.24% as the demand for drug discovery, disease diagnostics, and precision medicine continues to accelerate.Austin, Texas, Jan. 26, 2026 ...
EurekAlert!

eQTL analysis: bridging genomic variation and phenotypic diversity

Understanding the genetic mechanisms linking genome variations, such as single-nucleotide polymorphisms (SNPs), to phenotypes is challenging. Quantitative trait loci (QTLs) are genomic loci that ...
EurekAlert!

Microarray analysis of differential expression of long non-coding RNAs in peripheral blood mononuclear cells in luminal a breast cancer

In the post-genomic era, long non-coding RNAs (lncRNAs) have emerged as critical regulators in various cancers and hold potential as minimally invasive diagnostic biomarkers. This study aimed to ...
ascopubs.org

Co-expression network-based analysis of gene programs contributing to immune checkpoint inhibitor (ICI) resistance in renal cell carcinoma (RCC).

Phase 1 results of Oncobax-AK in combination with ipilimumab/nivolumab in advanced clear cell renal cell carcinoma (ccRCC; NCT05865730). This is an ASCO Meeting Abstract from the 2025 ASCO Annual ...
Scientific Research Publishing

Wang, L., Chen, G. and Li, H. (2007) Group SCAD Regression Analysis for Microarray Time Course Gene Expression Data. Bioinformatics, 23, 1486-1494.

ABSTRACT: Function-on-scalar regression is a type of function response regression used to analyze the relationship between function response and a set of scalar predictor factors. The variable ...
Frontiers

Circular RNA microarray expression profile and potential function of circDOCK1 in colorectal cancer

Department of Pediatric Surgery, Tianjin Medical University General Hospital, Tianjin, China Introduction: Endoscopic tissue biopsy combined with histopathology is the gold standard for the diagnosis ...
Scientific Research Publishing

Gene Expression Data Analysis Based on Mixed Effects Model ()

DNA microarray technology is an extremely effective technique for studying gene expression patterns in cells, and the main challenge currently faced by this technology is how to analyze the large ...