Releases: YosefLab/scone
Releases · YosefLab/scone
Version 1.1.3 (2018-10-19)
v0.99.0
Changes in version 0.99.0 (2016-11-14)
- Major release: many changes due to porting to S4.
- Widespread updates to documentation, including examples.
- Compatibility with Bioconductor format, including biocViews.
- Updated cell-cycle genes.
- Default BPPARAM value, now passed as argument to scone.
- Removed zinb function.
- Test different parallel back ends.
- Added class SconeExperiment based on SummarizedExperiment.
- Added constructor sconeExperiment to create SconeExperiment objects.
- Added many helper methods to retrieve content of slots.
- Wrapper get_normalized() to extract/compute single normalization from scone object.
- Wrapper get_design() to extract the design matrix associated with a given normalization.
- Method select_methods() to get a smaller SconeExperiment object containing only the requested normalization schemes.
- biplot_interactive() now works with SconeExperiment objects.
- Dropped date from DESCRIPTION as better practice is to add date to NEWS file.
- Added wrapper for scran normalization, removed FQP.
Hotfix: 3D Plotting
Fixed plotting bug for 3d plots in sconeReport()
Release 0.0.8
Changes in version 0.0.8 (2016-09-26)
- Added
sconeReport()
function for shiny browser of SCONE results. scone()
outputs are now sorted according to mean rank of scores rather than mean scores. Although this is a relative measure it accounts for differing variability of metrics.RLE_IQR
now quantifies the variability of the IQR RLE across samples, rather than the mean.- Bug Fix: Previously imputation could be applied to the wrong subset of
params
rows when user passedparams
arguments. Imputation functions are now indexed by name to avoid this error. - Bug Fix: Negative infinity expected likelihood is temporarily permitted in the
estimate_ziber()
loop. ezbake.R
script andscone_easybake()
function added for pipelined SCONE commands.- Revised documentation and removed old scripts.
- Various other bug fixes.
Release 0.0.6
Changes in version 0.0.6
- Added option for restoring zeroes after scaling step.
- New argument format for imputation via impute_args.
- Simplified ziber fnr estimation function - requires control genes.
- Fixed bug when using plot functionality of filtering functions.
- "Conditional" pam replaced with "Stratified" pam, clustering each bio-cross-batch condition separately, rather than simply each bio condition.
- Simple FNR for filtering is now based on medians of natural log expression in "expressing" cells / robust to convergence issues.
- Removed all sufficient thresholds for metric sample filter.
- Added option to write normalized matrices to HDF5 file.
- Added wrapper function get_normalized() to retrieve normalized data.
- New biplot_interactive function to explore the results.
Release 0.0.4
Changes in version 0.0.4
- Fixed a few bugs and documentation mismatches
- Removed stability evaluation (redundant with sil width and slow)
- Removed clusterExperiment dependency
- Removed RUV correlation score. UV correlation now takes ruv control genes as default
- Added RLE measures to scone evaluation
- Added FQT_FN to implement careful ties handling by FQ
- Better handling of plots in sample filter functions
- Mean score rather than median rank to evaluate normalizations
- Default value for imputation
- Minor optimizations to evaluations