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  • https://bio.libretexts.org/Bookshelves/Computational_Biology/Book%3A_Computational_Biology_-_Genomes_Networks_and_Evolution_(Kellis_et_al.)/10%3A_RNA_Folding/10.07%3A_Probabilistic_Approach_to_the_RNA_Folding_Problem
    One way is to combine the thermodynamic stability information, with a normalized RNA fold score and then we can do a Support Vector Machine (SVM) classification, and compare the thermodynamic stabilit...One way is to combine the thermodynamic stability information, with a normalized RNA fold score and then we can do a Support Vector Machine (SVM) classification, and compare the thermodynamic stability of the sequence to some random sequences of the same GC content and the same length and see how many standard deviations is the given structure more stable that the expected value.

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