Abstract: Gene selection, cancer classification and functional gene classification are three main concerns and interests by biologists for cancer detection, cancer classification, and understanding ...
In the years after the 2020 COVID-19 pandemic, it is clear that mRNA as a modality for vaccines and therapeutics is here to stay based on the number of mRNA programs currently in clinical development.
Microarray experiments, a mainstay in gene expression analysis for nearly two decades, pose challenges due to their complexity. To address this, we introduce DExplore, a user-friendly web application ...
Tissue microarrays combines tens to hundreds of paraffin-embedded tissue cores into a single paraffin block. It is a practical and highly effective technique for high-throughput analyses of various ...
Abstract: Microarray datasets are critical in detecting cancer, tumor, and various other diseases. The problem with the microarray dataset is that it has more features compared to the samples and it ...
Get article recommendations from ACS based on references in your Mendeley library. Pair your accounts. Export articles to Mendeley Get article recommendations from ACS based on references in your ...
With the growing importance of microbiome research, there is increasing evidence that host variation in microbial communities is associated with overall host health. Advancement in genetic sequencing ...
Exosomes found in the circulation are a primary source of important cancer-related RNA and protein biomarkers that are expected to lead to early detection, liquid biopsy, and point-of-care diagnostic ...
One of the main uses of QuPath is for high throughput biomarker studies using Tissue Microarrays (TMAs) in cancer research. This section gives a very quick overview of the background, and as an ...
The Gene Expression Omnibus (GEO, http://www.ncbi.nlm.nih.gov/geo/) is an international public repository for high-throughput microarray and next-generation sequence ...
To evaluate performance characteristics of gene expression measurement technologies and the data they generate, one must identify alternative quantitative platforms that can be used as references. The ...
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