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Changelog

Source: NEWS.md

greatR 1.1.0.9000

  • Added {patchwork} as a dependency.
  • Updated {greatR} logo.
  • Updated default optimisation_method in register() to be “lbfgsb” (LBFSG-B) instead of “nm” (Nelder-Mead).
  • Added sample SOC1 arabidopsis_SOC1_data.csv and brapa_SOC1_data.csv extdata.
  • Refactored optimise_registration_parameters argument in register() to use_optimisation.
  • Updated register() to return object of S3 class res_greatR.
  • Updated calculate_distance() to return object of S3 class dist_greatR.
  • Refactored summarise_registration() as summary.res_greatR() S3 method.

Improvements

  • Deprecate use of time_delta variable in registration process.
  • Added fun_args (a list of arguments used when calling the function) in register() results.
  • Updated summary.res_greatR() to return NA instead of [NA, NA] when all genes are non-registered.
  • Added reg_params (table containing distribution of registration parameters) to results list in summary.res_greatR() method.
  • Simplified calc_overlapping_percent() calculation.
  • Take into consideration overlapping_percent when applying manual registration.
  • Updated logic of calc_variance() for data with no replicates to consider expression_value.
  • Updated get_stretch_search_space_limits() and get_shift_search_space_limits() to exclude unexplorable regions in search space.
  • Improved calculate_distance() and aux get_timepoint_comb_*_data() functions to eliminate column selection and renaming inside lapply() calls, reducing execution time by up to 25%.
  • Added type (“registered” or “all”) and genes_list arguments to calculate_distance() to filter genes.
  • Added new unit tests.
  • Updated unit tests, and added S3 class checks where apropriate.
  • Updated vignettes and README diagrams and figures.
  • Updated vignettes with additional examples, comments on arguments, and full coverage of all plot() methods.

Bug fixes

  • Fixed get_shift_search_space_limits() to adjust shift space limits accordingly to removal of time_delta variable (see 48c943cd).
  • Fixed default overlapping_percent = 0.5 (instead of 50) in register_manually().
  • Fixed get_stretch_search_space_limits() to correctly determine lower and upper limits when single stretch value is provided.
  • Fixed issue in get_shift_search_space_limits() where range variables were not available when calc_mode == "bound".

New functions

greatR 1.1.0

CRAN release: 2024-01-09

  • Added {furrr} and {future} as dependencies.
  • Added num_cores parameter to register() to allow users to run registration in parallel.
  • Added exp_sd parameter to register() to allow users to manually set up experimental gene expression variance.
  • Updated scaling_method parameter in register() and scale_data() to allow no scaling (“none”, default), Z-score scaling (“z-score”), and min-max scaling (“min-max”), and updated unit tests accordingly.

Improvements

  • Updated register() to perform 3 sequential registrations when using Nelder-Mead, this improves the results of optimal stretch and shift parameters.
  • Updated calc_loglik() to use sigma_squared in every time point in the sum.
  • Updated scaled_data() and preprocess_data() to return all_data object only, instead of a list() containing all_data.
  • Updated compare_H1_and_H2() to return BIC_diff column (BIC_combined - BIC_separate), instead of BIC_combined and BIC_separate on their own.
  • Updated explore_manual_search_space() to use BIC_diff instead of BIC_combined to calculate best_params from model_comparison table.
  • Updated register() to perform 3 sequential registrations when using Nelder-Mead, this improves the results of optimal stretch and shift parameters. This may be reverted by tweaking neldermead() parameters to ensure correct convergence.
  • Added optional stretch_init and shift_init to get_search_space_limits(), and updated optimise() to allow for different space_lims calculation settings: automatic, given boundary box, and given initial coords (new).
  • Removed unused mean_data calculation from preprocess_data() and argument from scale_data().
  • Moved “Will process N genes” message from register() to preprocess_data() after running filter_*() functions.
  • Ensure results_list$data is arranged/ordered correctly in register().
  • Updated get_H*_model_curves() functions to ensure model curves are smooth.
  • Updated parse_gene_facets() to display BIC_diff in facet strips.
  • Added plot_mean_data parameter to plot_registration_results().
  • Updated overlapping_percent parameter in register() so it goes from 0 to 100 (it’s later normalised in the function to avoid breakages down the line).
  • Added scaling_method as an attribute in data results from register(), this is used in plot_registration_results() to build the y-axis label according the the scaling method used.
  • Updated brapa_arabidopsis_registration.rds file with new pipeline results.
  • Split get_search_space_limits() into separate aux functions for stretch and shift, which allows more stretch and shift input combinations.
  • Updated validate_params(..., registration_type = "optimisation") to allow more stretch and shift input combinations.

Bug fixes

  • Improved get_timepoint_comb_original_data() and get_timepoint_comb_registered_data() to perform cross_join() on a single gene_id at a time using lapply(), this fixes “Error: vector memory exhausted (limit reached?)” error.
  • Updated match_names() to do double setdiff() to ensure name matching is done two ways, and updated corresponding unit test.

New functions

  • filter_incomplete_accession_pairs() to filter out genes that are missing one accession.
  • calc_variance() to preprocess data variance inside preprocess_data() instead of calc_loglik().
  • Aux register_single_gene_*() functions inside register() to simplify and generalise the pipeline for parallel registration.

greatR 1.0.0

CRAN release: 2023-07-19

  • Rewrote registration pipeline from scratch, deprecating unnecessary, and redundant auxiliary functions.
  • Added L-BFGS-B and Nelder-Mead (now default) optimisation methods to {greatR}.
  • Switched to manual calculation of log likelihood via calc_loglik() instead of stats::logLik().
  • Reduced computation time up to 1000 times, (x30 speed-up from package rewrite, and x35 speed-up from switching default optimisation method).
  • Removed {dplyr}, {magrittr}, {purrr}, {rlang}, and {stringr} as package dependencies.
  • Added {neldermead} as a package dependency.
  • Updated list of exported functions:

Improvements

  • Simplified parameters of main register() function, and added scaling_method.
  • Simplified structure of output object of register().
  • Simplified parameters of summarise_registration(), plot_registration_results(), plot_heatmap(), calculate_distance() to simply require results object from register(), vastly simplifying usage.
  • Improved messages, errors, and progress indicators with {cli}.
  • Added correct pluralisation in {cli} messages.
  • Rewrote unit tests to use {data.table} exclusively for data manipulation.
  • Added unit tests for calc_loglik_H1(), calc_loglik_H2(), calc_overlapping_percent(), calculate_distance(), cross_join(), get_search_space_limits_from_params(), get_search_space_limits(), objective_fun(), optimise(), plot_heatmap(), plot_registration_results(), preprocess_data(), register_manually(), register(), summary_registration(), validate_params().

Bug fixes

  • Fixed match_names() call when validating accession names in register()
  • Fixed use of deprecated aes_string() by parsing timepoint_var using !!ggplot2::sym() call.
  • Fixed preds left join in plot_registration_results().
  • Fixed issue in plot_registration_results() not working when all genes are unregistered with type = "registered".
  • Fixed calculation of time_delta in preprocess_data() to ensure it’s grouped by gene_id and accession (not just accession).

greatR 0.2.0

CRAN release: 2022-06-08

  • Added Alex Calderwood as package co-author.
  • Added vignette for optimisation process.
  • Refactored num_shifts and shift_extreme parameters by simplified shifts parameter.

Improvements

  • Improved default parameter values in exported functions.
  • Added {optimization}, {purrr} as package dependencies.
  • Removed {cowplot}, {ggpubr}, {ggrepel}, {Rtsne}, and {viridis} as package dependencies.
  • Cleaned up {cli} messages.
  • Removed legacy AIC references, as it is no longer used.
  • Updated calculate_between_sample_distance() to use registration_results as primary parameter instead of mean_df, mean_df_sc, and imputed_mean_df.
  • Added warning if there is no comparable time points found using users’ pre-defined parameters.
  • Refactored optimise_shift_extreme as maintain_min_num_overlapping_points, properly defined and corrected the boundary box if number overlapping points whether needed to be maintained or not.

Bug fixes

  • Check that input accessions exist in the input data in get_approximate_stretch().
  • Manually create time point sorting levels for x_sample and y_sample columns according in plot_heatmap().
  • Properly handle - character in accession names in plot_heatmap() so that time points are parsed correctly.

New features

  • Added optional parameter optimisation process using Simulated Annealing through optimise_registration_params().

New functions

  • preprocess_data() to simplify scale_and_register_data() code and reuse logic elsewhere.
  • get_best_stretch_and_shift_simplified().
  • get_BIC_from_registering_data().
  • get_boundary_box().
  • optimise_registration_params_single_gene().
  • optimise_registration_params() as wrapper of optimise_registration_params_single_gene() for multiple genes.
  • get_best_stretch_and_shift_after_optimisation().

greatR 0.1.0

CRAN release: 2022-01-12

  • Initial release.
  • Added a NEWS.md file to track changes to the package.