Changelog
Source:NEWS.md
bakR 1.0.1
CRAN release: 2024-01-13
- Updated Stan array syntax to be compatible with current rstan version
- Hack to address Hmisc binning edge case (see https://github.com/harrelfe/Hmisc/issues/169).
bakR 1.0.0
CRAN release: 2023-06-29
- Functions for visualizing (
VisualizeDropout
), quantifying (QuantifyDropout
), and correcting (CorrectDropout
) metabolic label-induced dropout of RNA during library preparation have been added. - New simulation function (
simulate_relative_bakRData
) which better captures the relative nature of RNA-seq and can accurately simulate dropout. - New experimental function (
DissectMechanism
) for determining how likely that any observed differential expression is driven by transcriptional or post-transcriptional regulation.DissectMechanism
is a rewrite and extension of the previously developedNSSHeat2
function, which itself was an improvement of the now deprecatedNSSHeat
. - Can now provide fraction new estimates (e.g., from a tool like GRAND-SLAM) as input to bakR. GRAND-SLAM input functionality is further supported by the new
GSprocess
function that will facilitate converting from GRAND-SLAM output to bakR input. -
FnPCA
has been deprecated in favor ofFnPCA2
which accepts input differently and fixes some bugs. - Read count filtering now includes two filters. One read count that all samples must pass, and one that only all replicates in a single Exp_ID need to pass. This facilitates identifying large increases or decreaes in expression.
- Several new vignettes to discuss much of the new functionality discussed above.
- Several small bug fixes
bakR 0.4.4
- Small edit to configuration files that address compilation issues that can arise on some systems. Deals with “file too big” errors” during package installation from source.
bakR 0.4.3
- Implemented long read sequencing data analysis strategy. Run bakRFit() with Long = TRUE to use k-means clustering (k = 2) for mutation rate and fraction new estimation. Need to have Ckmeans.1d.dp package installed to do this (not installed during bakR installation).
bakR 0.4.2
- Fixed bug in reliableFeatures. high_p was supposed to be the maximum allowable mutation rate (# of mutations/# of Ts) in reads from -s4U controls, but was instead the maximum allowable average number of T-to-C mutations in reads from these controls.
bakR 0.4.1
- Fixed bug in cBprocess that didn’t properly check that features of interest provided by the FOI argument were valid.
bakR 0.4.0
CRAN release: 2023-03-14
- Added QC_check(), a function to perform quality control analysis with bakRFit objects. Looks for any problems in your data that will impair bakR’s performance, generates a number of diagnostic visualizations, and makes suggestions about what to do next.
- Fixed plot coloring bug in plotMA() and plotVolcano().
- Fixed bug that led to problems when the number of -s4U replicates > +s4U replicates in one or more Exp_IDs
- Implemented improved U-content adjustment for MCMC implementation. Also impacts accuracy of StanRateEst = TRUE mutation rate estimation strategy.
- Increased default number of features to use for StanRateEst mutation rate estimation strategy.
- Improved scaling of NSSHeat() output matrix columns.
- Created a new function NSSHeat2() that implements a different mechanism scoring function than NSSHeat().
bakR 0.3.0
- Optimized data preprocessing with data.table
- Increased simulation flexibility
- Added edge case error catching
bakR 0.2.5
- Added checks to bakRData validator
- Fixed bug in NSSHeatmap that prevented adjusting padj cutoff
bakR 0.2.4
CRAN release: 2022-10-10
- Addressed NOTEs to prepare for CRAN submission
- Removed previously deprecated function sim_bakRData()
bakR 0.2.2
- Fixed non-steady-state (NSS) uncertainty quantification
- Fixed uncertainty quantification for pulse-chase analysis
- Fixed fraction new estimation for pulse-chase analysis
bakR 0.2.0
- Improved default mutation rate estimation strategy
- Updated vignettes and added back non-steady state analysis strategy discussion
- Better commenting of fast_analysis (instead of opting for refactorization)