Hasil Pencarian - Toby Dylan Hocking

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  1. 1
    Increased peak detection accuracy in over-dispersed ChIP-seq data with supervised segmentation models

    Increased peak detection accuracy in over-dispersed ChIP-seq data with supervised segmentation models oleh Arnaud Liehrmann, Guillem Rigaill, Toby Dylan Hocking

    Diterbitkan 2021-06-01
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  2. 2
    A Bayesian outlier criterion to detect SNPs under selection in large data sets.

    A Bayesian outlier criterion to detect SNPs under selection in large data sets. oleh Mathieu Gautier, Toby Dylan Hocking, Jean-Louis Foulley

    Diterbitkan 2010-01-01
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  3. 3
    Generalized Functional Pruning Optimal Partitioning (GFPOP) for Constrained Changepoint Detection in Genomic Data

    Generalized Functional Pruning Optimal Partitioning (GFPOP) for Constrained Changepoint Detection in Genomic Data oleh Toby Dylan Hocking, Guillem Rigaill, Paul Fearnhead, Guillaume Bourque

    Diterbitkan 2022-02-01
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  4. 4
    Sustainable, Extensible Documentation Generation Using inlinedocs

    Sustainable, Extensible Documentation Generation Using inlinedocs oleh Toby Dylan Hocking, Thomas Wutzler, Keith Ponting, Philippe Grosjean

    Diterbitkan 2013-09-01
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  5. 5
    gfpop: An R Package for Univariate Graph-Constrained Change-Point Detection

    gfpop: An R Package for Univariate Graph-Constrained Change-Point Detection oleh Vincent Runge, Toby Dylan Hocking, Gaetano Romano, Fatemeh Afghah, Paul Fearnhead, Guillem Rigaill

    Diterbitkan 2023-03-01
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