Selected article for: "neural network and secondary structure"

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_4
    Snippet: The core of CROSS is an artificial neural network yielding a propensity score ranging from −1 (bottom values; single-stranded RNA) to 1 (top values; double-stranded RNA). CROSS was designed to investigate large-scale data sets and to provide information that can be integrated in methods for prediction of RNA secondary structure (12) as well as interactions with other molecules (13) ......
    Document: The core of CROSS is an artificial neural network yielding a propensity score ranging from −1 (bottom values; single-stranded RNA) to 1 (top values; double-stranded RNA). CROSS was designed to investigate large-scale data sets and to provide information that can be integrated in methods for prediction of RNA secondary structure (12) as well as interactions with other molecules (13) .

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