Publications by authors named "Jun-Feng Qu"
Article Synopsis
- Genomic data is expanding rapidly, leading to challenges in analyzing and classifying sequences, especially for identifying dangerous viruses that could cause pandemics.
- Current classification models often overlook the importance of nucleotide and amino acid sequencing, which are crucial for understanding the structure and function of genomes.
- The new method, GenoAnaCla, employs sequential pattern mining to analyze RNA virus genome sequences, utilizing eight classifiers and achieving a 3.18% improvement in accuracy compared to existing techniques.
Objective: MicroRNAs have been found to be deregulated in lung cancers, which play crucial roles in tumorigenesis and progression. FBXW7 and FBXW11, two important F-box proteins of the ubiquitin-proteasome system (UPS), can target multiple substrates for degradation, in order to regulate cell proliferation and survival in cancers. In the present study, we aimed to explore the potential role and regulating mechanism of miR-182 in non-small cell lung cancer (NSCLC).
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