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  "Title": "BANDITS: Bayesian ANalysis of DIfferenTial Splicing",
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  "Description": "BANDITS is a Bayesian hierarchical model for detecting\ndifferential splicing of genes and transcripts, via\ndifferential transcript usage (DTU), between two or more\nconditions. The method uses a Bayesian hierarchical framework,\nwhich allows for sample specific proportions in a\nDirichlet-Multinomial model, and samples the allocation of\nfragments to the transcripts. Parameters are inferred via\nMarkov chain Monte Carlo (MCMC) techniques and a DTU test is\nperformed via a multivariate Wald test on the posterior\ndensities for the average relative abundance of transcripts.",
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      "title": "BANDITS: Bayesian ANalysis of DIfferenTial Splicing",
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        "BANDITS"
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    },
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      "page": "BANDITS_data-class",
      "title": "BANDITS_data class",
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        "BANDITS_data-class",
        "show,BANDITS_data-method"
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        "BANDITS_test-class",
        "convergence",
        "convergence,BANDITS_test-method",
        "gene",
        "gene,BANDITS_test-method",
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      "topics": [
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      "topics": [
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      "title": "BANDITS: Bayesian ANalysis of DIfferenTial Splicing",
      "author": "Simone Tiberi",
      "engine": "knitr::rmarkdown",
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        "Bioconductor installation",
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        "Aligning reads",
        "Gene-transcript matching",
        "DTU pipeline",
        "Preliminary information",
        "Optional (recommended): transcript pre-filtering",
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        "salmon input",
        "kallisto input",
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