Selected article for: "PPV positive predictive value and predictive value"
Author: Delli Ponti, Riccardo; Marti, Stefanie; Armaos, Alexandros; Tartaglia, Gian Gaetano
Title: A high-throughput approach to profile RNA structure
  • Document date: 2017_3_17
    • ID: k23xlzj0_42
    Snippet: We built CROSS using data from SHAPE (5,6) and PARS (3, 4) studies as well as NMR/X-ray experiments. Models based on PARS and icSHAPE experiments show the highest predictive power with an average accuracy of 0.77 and 0.76, and a positive predictive value PPV of 0.8 and 0.77. The different algorithms can be used independently or combined together to obtain insights into the secondary structure of a transcript. Since each technique has its specific.....
    Document: We built CROSS using data from SHAPE (5,6) and PARS (3, 4) studies as well as NMR/X-ray experiments. Models based on PARS and icSHAPE experiments show the highest predictive power with an average accuracy of 0.77 and 0.76, and a positive predictive value PPV of 0.8 and 0.77. The different algorithms can be used independently or combined together to obtain insights into the secondary structure of a transcript. Since each technique has its specificities and biases, the combination of multiple approaches is recommendable to achieve a better understanding of structural properties (14) .

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