No datasets match
  1. 1.
    mikropml::otu_data_preproc
    Mini OTU abundance dataset - preprocessed
  2. 2.
    mikropml::otu_mini_bin
    Mini OTU abundance dataset
  3. 3.
    mikropml::otu_mini_bin_results_glmnet
    Results from running the pipeline with L2 logistic regression on 'otu_mini_bin' with feature importance and grouping
  4. 4.
    mikropml::otu_mini_bin_results_rf
    Results from running the pipeline with random forest on 'otu_mini_bin'
  5. 5.
    mikropml::otu_mini_bin_results_rpart2
    Results from running the pipeline with rpart2 on 'otu_mini_bin'
  6. 6.
    mikropml::otu_mini_bin_results_svmRadial
    Results from running the pipeline with svmRadial on 'otu_mini_bin'
  7. 7.
    mikropml::otu_mini_bin_results_xgbTree
    Results from running the pipeline with xbgTree on 'otu_mini_bin'
  8. 8.
    mikropml::otu_mini_cont_results_glmnet
    Results from running the pipeline with glmnet on 'otu_mini_bin' with 'Otu00001' as the outcome
  9. 9.
    mikropml::otu_mini_cont_results_nocv
    Results from running the pipeline with glmnet on 'otu_mini_bin' with 'Otu00001' as the outcome column, using a custom train control scheme that does not perform cross-validation
  10. 10.
    mikropml::otu_mini_cv
    Cross validation on 'train_data_mini' with grouped features.
  11. 11.
    mikropml::otu_mini_multi
    Mini OTU abundance dataset with 3 categorical variables
  12. 12.
    mikropml::otu_mini_multi_group
    Groups for otu_mini_multi
  13. 13.
    mikropml::otu_mini_multi_results_glmnet
    Results from running the pipeline with glmnet on 'otu_mini_multi' for multiclass outcomes
  14. 14.
    mikropml::otu_small
    Small OTU abundance dataset
  15. 15.
    mikropml::otu_data_preproc
    Mini OTU abundance dataset - preprocessed
  16. 16.
    mikropml::otu_mini_bin
    Mini OTU abundance dataset
  17. 17.
    mikropml::otu_mini_bin_results_glmnet
    Results from running the pipeline with L2 logistic regression on 'otu_mini_bin' with feature importance and grouping
  18. 18.
    mikropml::otu_mini_bin_results_rf
    Results from running the pipeline with random forest on 'otu_mini_bin'
  19. 19.
    mikropml::otu_mini_bin_results_rpart2
    Results from running the pipeline with rpart2 on 'otu_mini_bin'
  20. 20.
    mikropml::otu_mini_bin_results_svmRadial
    Results from running the pipeline with svmRadial on 'otu_mini_bin'
  21. 21.
    mikropml::otu_mini_bin_results_xgbTree
    Results from running the pipeline with xbgTree on 'otu_mini_bin'
  22. 22.
    mikropml::otu_mini_cont_results_glmnet
    Results from running the pipeline with glmnet on 'otu_mini_bin' with 'Otu00001' as the outcome
  23. 23.
    mikropml::otu_mini_cont_results_nocv
    Results from running the pipeline with glmnet on 'otu_mini_bin' with 'Otu00001' as the outcome column, using a custom train control scheme that does not perform cross-validation
  24. 24.
    mikropml::otu_mini_cv
    Cross validation on 'train_data_mini' with grouped features.
  25. 25.
    mikropml::otu_mini_multi
    Mini OTU abundance dataset with 3 categorical variables
  26. 26.
    mikropml::otu_mini_multi_group
    Groups for otu_mini_multi
  27. 27.
    mikropml::otu_mini_multi_results_glmnet
    Results from running the pipeline with glmnet on 'otu_mini_multi' for multiclass outcomes
  28. 28.
    mikropml::otu_small
    Small OTU abundance dataset
  29. 29.
    MOSuite::gene_counts
    RSEM expected gene counts
  30. 30.
    MOSuite::mosuite_palette
    Default MOSuite color palette
  31. 31.
    MOSuite::nidap_batch_corrected_counts
    Batch-corrected counts for the NIDAP test dataset.
  32. 32.
    MOSuite::nidap_batch_corrected_counts_2
    Batch-corrected counts for the NIDAP test dataset. The result of running 'batch_correct_counts()' on 'nidap_norm_counts'.
  33. 33.
    MOSuite::nidap_clean_raw_counts
    Clean raw counts for the NIDAP test dataset. The result of running 'clean_raw_counts()' on 'nidap_raw_counts'.
  34. 34.
    MOSuite::nidap_deg_analysis
    Differential gene expression analysis for the NIDAP test dataset.
  35. 35.
    MOSuite::nidap_deg_analysis_2
    Differential gene expression analysis for the NIDAP test dataset. The result of running 'diff_counts()' on 'nidap_filtered_counts'.
  36. 36.
    MOSuite::nidap_deg_gene_list
    List of differentially expressed genes from the NIDAP test dataset using default parameters with 'filter_diff()'.
  37. 37.
    MOSuite::nidap_filtered_counts
    Filtered counts for the NIDAP test dataset. The result of running 'filter_counts()' on 'nidap_clean_raw_counts'.
  38. 38.
    MOSuite::nidap_norm_counts
    Normalized counts for the NIDAP test dataset. The result of running 'normalize_counts()' on 'nidap_filtered_counts'.
  39. 39.
    MOSuite::nidap_raw_counts
    Raw counts for the NIDAP test dataset Pairs with 'nidap_sample_metadata'.
  40. 40.
    MOSuite::nidap_sample_metadata
    Sample metadata for the NIDAP test dataset
  41. 41.
    MOSuite::nidap_venn_diagram_dat
    Output data from venn diagram. The result of running 'plot_venn_diagram()' on 'nidap_volcano_summary_dat'
  42. 42.
    MOSuite::nidap_volcano_summary_dat
    Summarized differential expression analysis for input to venn diagram