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Making sense of your gene expression data
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 ...
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 ...
The introduction of real-time quantitative PCR (qPCR) in the early 1990s opened the door for quantitative gene expression analysis. Still, qPCR depends on standard curves, allowing only relative ...
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