NEWS
cellGeometry 0.6.2 (2026-03-19)
26/02/2026
- Improved error checks in
deconvolute() to help with issue #20.
New features
- Add measurement of bias and variance to
tune_deconv().
- Add
plot_tunevar() to compare MSE, bias^2 and variance.
- Add S3 method for
kappa() to compute the condition number of the spillover
matrix.
- Add
plot_path() to show how the coefficient paths vary with compensation for
either a single bulk sample or a cell subclass.
- Add
plot_pred() as an alternative to plot_set() for viewing predicted vs
observed results from simulations in a single correlation plot.
- Add
zero_fraction argument to generate_samples().
cellGeometry 0.6.1
13/01/2026
- Fix subtle division by near 0 issue in
nest_output
New features
- Massive speed up of
deconvolute().
- Add ridge parameter
lambda to deconvolute() [experimental].
- Add
resvar metric to tune_deconv() to examine residual variance of bulk
gene expression.
Important change
deconvolute() no longer returns se and hat in the subclass list
element. Standard errors can be obtained with the new function se().
cores argument has been removed from deconvolute()
Important bugfix
- R 4.5.2 for macOS arm64 (Apple M* Macs) has switched to using a faster BLAS
(vecLib?) by default, which causes errors with parallelisation in
mclapply().
The problem is isolated to R 4.5.2 arm64 for macOS on M* Macs; or any version of
R for macOS including intel, if vecLib BLAS is being used via a symlink. The
solution is to use cores = 1 with deconvolute() and tune_deconv() whenever
vecLib BLAS is in use.
- Removed use of
pbmcapply::pbmclapply() as this caused problems with R 4.5.2
for macOS arm64 (Apple M* Macs) even with cores=1. This fixes indefinite
hanging in tune_deconv() associated with vecLib BLAS.
cellGeometry 0.5.7 (2025-12-11)
11/12/2025
- Change
log argument in deconvolute() to logged_bulk. NB. this is a
change of logic.
cellGeometry 0.5.6
07/10/2025
- Add
residuals.deconv() to allow recalculation of full residuals matrix.
cellGeometry 0.5.5
10/09/2025
- Fix bug in
mergeMarkers() if cellMarkers object has no cell grouping vector.
cellGeometry 0.5.4 (2025-09-15)
09/09/2025
- Fix CRAN checks
- Switch from using
cat() to message()
cellGeometry 0.5.3
26/08/2025
- Massive speed up (4-5x) in compensation optimisation
cellGeometry 0.5.2
30/07/2025
- Expanded to 3 methods for identifying outlier genes (var.e, Cook's distance,
Studentized residuals)
- Improved (nested) parallelisation of
tune_deconv()
- Rewrite weights code (faster)
cellGeometry 0.5.0
14/07/2025
- Calculation of SE
- Detection and multipass removal of problematic genes with extreme residuals
cellGeometry 0.2.0
24/01/2025
- This is the initial build of cellGeometry