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swMATH16878MaRDI QIDQ28742

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Described by source

• Knowledge-based computational mutagenesis for predicting the disease potential of human non-synonymous single nucleotide polymorphisms

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Data mining techniques for the life sciences ⋮ Predicting DNA binding proteins using support vector machine with hybrid fractal features ⋮ Using protein granularity to extract the protein sequence features ⋮ Analyzing effects of naturally occurring missense mutations ⋮ Sequence-dependent prediction of recombination hotspots in \textit{Saccharomyces cerevisiae} ⋮ A new hybrid fractal algorithm for predicting thermophilic nucleotide sequences ⋮ Two-intermediate model to characterize the structure of fast-folding proteins ⋮ \textit{In vitro} transcriptomic prediction of hepatotoxicity for early drug discovery

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