檢索結果 - Toby Dylan Hocking

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

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

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

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

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Cross-validation for training and testing co-occurrence network inference algorithms 由 Daniel Agyapong, Jeffrey Ryan Propster, Jane Marks, Toby Dylan Hocking

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

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