Gene expression analysis helps uncover how cells function, adapt, and contribute to disease. Techniques from microarray preprocessing to advanced single-cell proteomics offer complementary insights ...

Researchers developed STRIPE, a targeted long-read RNA sequencing tool that identifies disease-causing variants missed by ...

A recent study on DNA microarray technology highlights its essential role in enabling high-throughput analysis of large numbers of genes through arrays of probes integrated on a solid-phase support.

A RECENT study using a three-dimensional human epidermal equivalent model has revealed that vitamin C (L-ascorbic acid) significantly promotes skin cell proliferation and thickening through epigenetic ...

ABSTRACT: Attrition is a common challenge in statistical analysis for longitudinal or multi-stage cross-sectional studies. While strategies to reduce attrition should ideally be implemented during the ...

Scientists have just made a fascinating discovery about the roots of the Japanese people. By analyzing the complete genomes of over 3,200 individuals from all across Japan, researchers found that the ...

Abstract: DNA Microarray datasets, also known as “omics” data, are important for the diagnosis of numerous diseases, including cancer and tumors. In the analysis of these data, feature selection ...

ABSTRACT: Missing data presents a significant challenge in statistical analysis and machine learning, often resulting in biased outcomes and diminished efficiency. This comprehensive review ...