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Biomarker Identification Articles & Analysis
4 articles found
High-throughput screening allows for the rapid assessment of thousands of compounds against resistant cell lines, facilitating the identification of potential new therapies. In addition, advanced techniques such as CRISPR-based gene editing enable researchers to dissect the molecular mechanisms of resistance. ...
One of the significant advantages of scRNA-seq in drug discovery is its impact on target identification. By allowing researchers to dissect complex tissues and diseases at the cellular level, scRNA-seq enables the identification of distinct cell subtypes and their gene expression profiles. ...
Applications of DGE Analysis Disease Biomarker Discovery: Identification of DEGs between healthy and diseased tissues unveils potential diagnostic or prognostic biomarkers. These biomarkers aid in disease classification, patient stratification, and the development of targeted therapies, paving the way for precision medicine. ...
Differential expression analysis Differential gene expression (DGE) analysis is a key part of the analysis of small RNA data, which helps predict targets and find biomarkers.There are several good tools for this purpose (Table 3), but the optimal tool is highly dependent on the specific dataset. Biomarker identification and target prediction ...