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Showing 1 to 5 of 5 for “"Biological Sequence Analysis"”.

  1. Improving neural networks for biological sequence analysis through problem-specific customizations

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms

    uiuc Repository record for Improving neural networks for biological sequence analysis through problem-specific customizations (opens in a new tab)

  2. Improving neural networks for biological sequence analysis through problem-specific customizations

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms

    uiuc Repository record for Improving neural networks for biological sequence analysis through problem-specific customizations (opens in a new tab)

  3. Probabilistic arithmetic automata : applications of a stochastic computational framework in biological sequence analysis

    The immense amount of biological sequence data available these days requires efficient and sensitive analysis in order to provide e.g. the identification of unknown proteins, or information about the similarity between DNA sequences. Furthermore, new challenges to computational sequence analysis

    bielefeld Repository record for Probabilistic arithmetic automata : applications of a stochastic computational framework in biological sequence analysis (opens in a new tab)

  4. Structure-based realignment of non-coding RNAs in multiple whole genome alignments

    … genome alignments have become a central tool in biological sequence analysis. A major application is the de novo prediction of non-coding RNAs (ncRNAs) from structural conservation visible in the alignment. However, current methods for constructing genome alignments do so by explicitly optimizing …

    mit Repository record for Structure-based realignment of non-coding RNAs in multiple whole genome alignments (opens in a new tab)

  5. Data Driven Models for Language Evolution

    … several techniques originally developed for biological sequence analysis, we have designed a data driven orthographic learning system for measuring string similarity and we have successfully applied it to the tasks of cognate identification and phylogenetic inference. Our system has …

    trento Repository record for Data Driven Models for Language Evolution (opens in a new tab)