Chongwei Shi Advances Genetic Research Through DNA Microarray Technology Principles and Applications
A recent study highlights how DNA microarray technology enables high-throughput gene analysis, supporting variation detection, expression ...
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 ...
I am a bioinformatics consultant at the Herbert Irving Comprehensive Cancer Center Biomedical Informatics Shared Resource I assist researchers with their problems in sequence analysis, microarray ...
CD Genomics, a globally distinguished pioneer in genomic technologies, declared today the induction of their innovative LncRNA Microarray Service, affording scientists an avant-garde solution for ...
ABSTRACT: In the field of machine learning, support vector machine (SVM) is popular for its powerful performance in classification tasks. However, this method could be adversely affected by data ...
Several prominent foundation models are employed to enhance our understanding of high-throughput biological data, followed by a discussion on the application of prediction and generation models across ...
The clinical study aims to evaluate a vaccine for avian influenza A (H7N9) delivered by Vaxxas’ high-density microarray patch (HD-MAP), and is funded by the United States government as a potential ...
The discipline of bioinformatics integrates biology and computer science to improve our understanding of complex biological systems. Bioinformatic analysis describes the processing of biological data ...
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