SpatialDDLS 0.1.0
(2023-04-08)
- Added a
NEWS.md
file to track changes.
SpatialDDLS 0.2.0
(2023-10-04)
- Added a vignette explaining HDF5 file usage (hdf5Backend.Rmd
vignette).
- Mixed transcriptional profiles are now stored as raw counts rather
than normalized values in order to make calculations more
transparent.
- Scale factor for normalization can be chosen (10e3 is now the
default option).
SpatialDDLS 1.0.0
(2023-12-05)
- Regularization of predicted cell proportions incorporated. Functions
and classes relying on the deconvSpatialDDLS function have been
modified.
- Added a set of functions for clustering analysis based on predicted
cell proportions (spatialClustering.R file).
- Added a module for neural network interpretation based on the
vanilla gradient algorithm (interGradientsDL.R file).
- Changes in default parameters and vignette updated.
SpatialDDLS 1.0.1
(2024-02-07)
- Change in HDF5 file usage: new version of the HDF5Array package does
not support “for.use” argument.
- In createSpatialDDLSobject, included the sc.log.FC parameter to
optionally choose if filtering genes according to logFC.
SpatialDDLS 1.0.2
(2024-03-21)
- Included two parameters to control python and tensorflow versions in
the installTFpython function.
- The installTFpython function now installs python 3.8 by
default.
SpatialDDLS 1.0.3
(2024-10-28)
- SingleCellExperiment adds a saveRDS S3 generics in the new BioC
version. To avoid incompatibilities, it is not completely loaded
anymore.