Releases
v1.0.0
ruthkr
released this
19 Jul 21:24
greatR 1.0.0
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 depedency.
Updated list of exported functions:
register()
summarise_registration()
get_approximate_stretch()
plot_registration_results()
plot_heatmap()
calculate_distance()
Improvements
Simplified parameters of main register()
function, and added scaling_method
.
Simplified structure of output object of register()
.
Simplfied parameters of summarise_registration()
, plot_registration_results()
, plot_heatmap()
, calculate_distance()
to simply require results
object from register()
, vastly simplifing 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
).
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