tascCODA
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Contents

  • About tascCODA
  • Data structure
  • The tascCODA model
  • Installation
  • API

Tutorials

  • tascCODA - Tree-aggregated compositional analysis of high-throughput sequencing data
tascCODA
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  • Index
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Index

A | C | D | G | M | S | T

A

  • attrs() (tasccoda.tree_results.CAResult_tree property)

C

  • CAResult_tree (class in tasccoda.tree_results)
  • collapse_singularities() (in module tasccoda.tree_utils)
  • complete_alpha_df() (tasccoda.tree_results.CAResult_tree method)
  • complete_beta_df() (tasccoda.tree_results.CAResult_tree method)
  • complete_node_df() (tasccoda.tree_results.CAResult_tree method)
  • CompositionalAnalysisTree (class in tasccoda.tree_ana)

D

  • df2newick() (in module tasccoda.tree_utils)
  • draw_tree_effects() (tasccoda.tree_results.CAResult_tree method)

G

  • get_A() (in module tasccoda.tree_utils)
  • get_chains_after_burnin() (tasccoda.tree_agg_model_sslasso.TreeModelSSLasso method)
  • get_significant_results() (tasccoda.tree_results.CAResult_tree method)
  • get_y_hat() (tasccoda.tree_agg_model_sslasso.TreeModelSSLasso method)

M

  • make_result() (tasccoda.tree_agg_model_sslasso.TreeModelSSLasso method)
  • module
    • tasccoda

S

  • sample_hmc() (tasccoda.tree_agg_model_sslasso.TreeModelSSLasso method)
  • sample_hmc_da() (tasccoda.tree_agg_model_sslasso.TreeModelSSLasso method)
  • sample_nuts() (tasccoda.tree_agg_model_sslasso.TreeModelSSLasso method)
  • sampling() (tasccoda.tree_agg_model_sslasso.TreeModelSSLasso method)
  • summary() (tasccoda.tree_results.CAResult_tree method)
  • summary_extended() (tasccoda.tree_results.CAResult_tree method)
  • summary_prepare() (tasccoda.tree_results.CAResult_tree method)

T

  • tasccoda
    • module
  • TreeModelSSLasso (class in tasccoda.tree_agg_model_sslasso)

© Copyright 2023, Johannes Ostner, Salomé Carcy, Christian L. Müller. Revision 7deebe99.