Current microarray analysis uses 'chips' containing either 25-residue oligonucleotides synthesized by photolithography or cDNAs placed by robotic spotting. In the April Nature Biotechnology, Hughes et ...
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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 ...
Relationship of pro-angiogenic factor Cyr61to colorectal cancer development and prognosis. Background: Microarrays are widely used to study gene expression patterns in cancer. In colorectal cancer, it ...
Curious about how to detect and characterize tumor-derived biomarkers from liquid biopsy samples? Genomics-based methods now provide access to more molecular data than ever before, delivering cancer ...
Microarray image analysis has long been recognised as a pivotal methodology for quantifying gene expression across thousands of genes simultaneously. By converting intricate patterns of hybridised ...
The phase 1/2 randomized trial compared results from the measles and rubella vaccine delivered by a microarray patch, a small sticking plaster-like device with an array of microscopic projections that ...
Early Completion of Model-Assisted Designs for Dose-Finding Trials Accurate assessment of a molecular classifier that guides patient care is of paramount importance in precision oncology. Recent years ...
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