Publications by authors named "Alexander A Zhavoronkov"

We recently proposed a new bioinformatic algorithm called OncoFinder for quantifying the activation of intracellular signaling pathways. It was proved advantageous for minimizing errors of high-throughput gene expression analyses and showed strong potential for identifying new biomarkers. Here, for the first time, we applied OncoFinder for normal and cancerous tissues of the human bladder to identify biomarkers of bladder cancer.

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Synopsis of recent research by authors named "Alexander A Zhavoronkov"

  • - Alexander A Zhavoronkov's research focuses on the development of bioinformatic tools for cancer diagnostics, particularly through the quantification of intracellular signaling pathway activation.
  • - In his 2014 article, he introduced the OncoFinder algorithm, which enhances the accuracy of high-throughput gene expression analyses and aids in the identification of novel biomarkers in cancer research.
  • - The application of OncoFinder to human bladder tissues yielded promising results in discovering robust biomarkers for bladder cancer, marking a significant advancement in cancer biomarker discovery methodologies.