/usr/lib/R/site-library/DESeq2/NEWS is in r-bioc-deseq2 1.14.1-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 | CHANGES IN VERSION 1.14.1
-------------------------
o Removed deprecated armadillo argument in DESeq2.cpp
CHANGES IN VERSION 1.13.8
-------------------------
o Use a linear model to estimate the expected counts
for dispersion estimation in estDispGeneEst()
if the number of groups in the model matrix
is equal to the number of columns of the model
matrix. Should provide a speed-up for dispersion
estimation for model matrices with many samples.
CHANGES IN VERSION 1.13.3
-------------------------
o Fixed bug: fpm() and fpkm() for tximport.
o Fixed bug: normalization factors and VST.
o Added an error if tximport lengths have 0.
o Added an error if user matrices are not full rank.
o More helpful error for constant factor in design.
CHANGES IN VERSION 1.12.0
-------------------------
o Added DESeqDataSetFromTximport() to import
counts using tximport.
o Added vst() a fast wrapper for the VST.
o Added support for IHW p-value adjustment.
CHANGES IN VERSION 1.11.42
--------------------------
o Update summary() to be IHW-results-aware.
o Small change to fitted mu values to improve fit stability
when counts are very low. Inference for high count genes
is not affected.
o Galaxy script inst/script/deseq2.R moves to Galaxy repo.
CHANGES IN VERSION 1.11.33
--------------------------
o Changed 'filterFun' API to accommodate IHW:
independent hypothesis weighting in results(),
see vignette for example code.
Thanks to Nikolaos Ignatiadis, maintainer of IHW package.
CHANGES IN VERSION 1.11.18
--------------------------
o Added a function vst(), which is a fast wrapper for
varianceStabilizingTransformation(). The speed-up
is accomplished by subsetting to a smaller number
of genes for the estimation of the dispersion trend.
CHANGES IN VERSION 1.11.5
-------------------------
o Adding in functionality to import estimated counts and
average transcript length offsets from tximport,
using DESeqDataSetFromTximport().
CHANGES IN VERSION 1.10.0
-------------------------
o Added MLE argument to plotMA().
o Added normTransform() for simple log2(K/s + 1) transformation,
where K is a count and s is a size factor.
o When the design contains an interaction, DESeq() will use
betaPrior=FALSE. This makes coefficients easier to interpret.
o Independent filtering will be less greedy, using as a
threshold the lowest quantile of the filter such that the
number of rejections is within 1 SD from the maximum.
See ?results.
o summary() and plotMA() will use 'alpha' from results().
CHANGES IN VERSION 1.9.42
-------------------------
o New function 'normTranform', for making DESeqTransform objects
from normalized counts plus a pseudocount (default 1) then
applying a transformation (default log2).
o Added MLE argument to plotMA(), if results() was run with
addMLE=TRUE, this allows for comparison of shrunken and
unshrunken estimates of fold change.
o summary() and plotMA() use the 'alpha' which was specified
in results() rather than defaulting to 0.1.
o Removed rlog's fast option, and instead recommending VST for
very large matrices of counts (100s of samples).
CHANGES IN VERSION 1.9.17
-------------------------
o Independent filtering: results() no longer uses the maximum
of the number of rejections as calculated by the filter_p() function
from the genefilter package. Small numbers of rejections at a
high quantile of the filter threshold could result in
a high filter threshold. Instead, now the results() function
will use the lowest quantile of the filter for which the
number of rejections is close to the peak of a lowess curve fit
through the number of rejections over the filter quantiles.
'Close to' is defined as within 1 residual standard deviations.
CHANGES IN VERSION 1.9.16
-------------------------
o When the design formula contains interaction terms, the DESeq()
function will by default not use a beta prior (betaPrior=FALSE).
The previous implementation of a log fold change prior for
interaction terms returned accurate inference, but was confusing
for users to interpret. New instructions on building results tables
for designs with interactions will be included in the software
vignette.
CHANGES IN VERSION 1.8.0
------------------------
o Added support for user-supplied model matrices to DESeq(),
estimateDispersions() and nbinomWaldTest(). This helps
when the model matrix needs to be edited by the user.
CHANGES IN VERSION 1.7.45
-------------------------
o Added a test in rlog for sparse data, mostly zero and some
very large counts, which will give a warning and suggestion
for alternate transformations.
o Added plotSparsity() which will help diagnose issues for using rlog:
data which do not resemble negative binomial due to many genes
with mostly zeros and a few very large counts.
CHANGES IN VERSION 1.7.43
-------------------------
o Added 'replaced' argument to counts() and plotCounts() such
that the assay in "replaceCounts" will be used if it exists.
Raised a minimum dispersion value used in Cook's calculation,
so that other counts in a group with an outlier won't get extreme
Cook's distances themselves.
CHANGES IN VERSION 1.7.32
-------------------------
o Added logic to results() which will zero out the LFC, Wald
statistic and set p-value to 1, for 'contrast' argument
results tables where the contrasted groups all have zero count.
Non-zero LFCs were otherwise occuring due to large differences
in the size factors.
CHANGES IN VERSION 1.7.11
-------------------------
o Added support for user-supplied model matrices to DESeq(),
estimateDispersions() and nbinomWaldTest().
CHANGES IN VERSION 1.7.9
------------------------
o Added Genome Biology citation for the DESeq2 methods.
o Introduced type="iterate" for estimateSizeFactors,
an alternative estimator for the size factors, which
can be used even when all genes have a sample with a
count of zero. See man page for details.
CHANGES IN VERSION 1.7.3
------------------------
o Fixed two minor bugs:
DESeq() with parallel=TRUE was dropping rows with all zero
counts, instead of propogating NAs.
nbinomLRT() with matrices provided to 'full' and 'reduced' and
a design of ~ 1, the matrices were being ignored.
CHANGES IN VERSION 1.6.0
------------------------
o DESeq() and results() gets a 'parallel' argument.
o results() gets an 'addMLE' argument.
o results() gets a 'test' argument, for constructing Wald tests
after DESeq() was run using the likelihood ratio test.
o results() argument 'format' for GRanges or GRangesList results.
o new plotCounts() function.
o Less outlier calling from Cook's distance for analyses with
many samples and many conditions.
o More robust beta prior variance and log fold change shrinkage.
CHANGES IN VERSION 1.5.70
-------------------------
o Added 'parallel' also for results(), which can be slow if run with
100s of samples.
CHANGES IN VERSION 1.5.54
-------------------------
o Added 'parallel' argument to DESeq() which splits up the analysis
over genes for those steps which are easily done in parallel,
leveraging BiocParallel's bplapply.
CHANGES IN VERSION 1.5.50
-------------------------
o A matrix can be provided to rlog or to the VST and will return
a matrix. Also 'fitType' argument is included, in case dispersions
are not estimated which is passed on to estimateDispersions.
CHANGES IN VERSION 1.5.49
-------------------------
o The fast=TRUE implementation of rlog is even faster, subsetting
genes along the range of base mean to estimate the dispersion
trend and for fitting the optimal amount of shrinkage.
CHANGES IN VERSION 1.5.40
-------------------------
o Further improved code behind the robust estimation of variance
for Cook's cutoff, resulting in less outlier calls due to
an individual condition with few samples and high variance.
CHANGES IN VERSION 1.5.28
-------------------------
o New results() argument 'addMLE' adds the unshrunken fold changes
for simple contrasts or interaction terms to the results tables.
CHANGES IN VERSION 1.5.27
-------------------------
o Applied the beta prior variance calculation from v1.5.22 to the
regularized logarithm.
o Added MLE coefficients as MLE_condition_B_vs_A columns to mcols(dds).
o Fixed the statistic which is returned when lfcThreshold is used.
Previously, only the p-value and adjusted p-value was changed.
o plotPCA() with argument 'returnData' will return a data.frame
which can be used for custom plotting.
CHANGES IN VERSION 1.5.25
-------------------------
o Improved the robust variance estimate used for calculating
Cook's distances. The previous estimate could lead to outlier
calls in datasets with many conditions, and when a single
condition had large, highly variable counts for all its samples.
CHANGES IN VERSION 1.5.22
-------------------------
o Adding an alternate method for beta prior variance calculation
in nbinomWaldTest. This helps to produce more robust prior
variance estimates when many genes have small counts and highly
variable MLE log fold changes.
CHANGES IN VERSION 1.5.15
-------------------------
o For likelihood ratio test, expanded model matrices not default.
Some improvements in fit time from handling of genes with
dispersions that do not converge using line search.
CHANGES IN VERSION 1.5.13
-------------------------
o Adding test argument to results(), which allows users to perform
a Wald test after DESeq(dds, test="LRT") / nbinomLRT has been run.
CHANGES IN VERSION 1.5.11
------------------------
o Swapping in ggplot2 for lattice for the plotPCA function.
CHANGES IN VERSION 1.5.9
------------------------
o Added a VST for fitType = mean. Allowed designs with ~ 0
and betaPrior = FALSE. Fixed some potential metadata
column insertion bugs.
CHANGES IN VERSION 1.5.8
------------------------
o Suppress the glm.fit convergence warning from parametric dispersion
curve fitting procedure, instead use this for the iterative
convergence test.
CHANGES IN VERSION 1.5.3
------------------------
o Speeding up and reducing copying for DESeqDataSet construction.
CHANGES IN VERSION 1.5.2
------------------------
o Added 'format' argument to results, which will attach results to
GRangesList or GRanges if requested (default is DataFrame).
CHANGES IN VERSION 1.4.4
------------------------
o Fixed a hang which could occur in the GLM fitting procedure.
CHANGES IN VERSION 1.4.3
------------------------
o Fixed simple bug when using normalizationFactors and running
nbinomWaldTest, error was "no method for coercing this S4 class
to a vector".
CHANGES IN VERSION 1.4.2
------------------------
o Fixed bugs: estimating beta prior for interaction between factor
and numeric; not returning row names for counts(); construction
of DESeqDataSet gives wrong error when there are empty levels:
instead now drops the levels for the user.
CHANGES IN VERSION 1.4.1
------------------------
o Fixed bug where DESeqDataSetFromHTSeqCount() imported the special
rows, "_ambiguous", etc.
CHANGES IN VERSION 1.4.0
------------------------
o *** USAGE NOTE *** Expanded model matrices are now used when
betaPrior = TRUE (the default). Therefore, level comparison results
should be extracted using the 'contrast' argument to the results()
function. Expanded model matrices produce shrinkage of log
fold changes that is independent of the choice of base level.
Expanded model matrices are not used in the case of designs
with an interaction term between factors with only 2 levels.
o The order of the arguments 'name' and 'contrast' to the results()
function are swapped, to indicate that 'contrast' should be used
for the standard comparisons of levels against each other.
Calling results() with no arguments will still produce the
same comparison: the fold change of the last level of the last
design variable over the first level of the last design variable.
See ?results for more details.
o The DESeq() function will automatically replace count outliers
flagged by Cook's distance when there are 7 or more replicates.
The DESeq() argument 'minReplicatesForReplace' (default 7)
is used to decide which samples are eligible for automatic
replacement. This default behavior helps to prevent filtering
genes based on Cook's distance when there are many degrees of
freedom.
CHANGES IN VERSION 1.3.58
-------------------------
o Added a list() option to the 'contrast' argument of results().
See examples in ?results.
CHANGES IN VERSION 1.3.24
-------------------------
o rlogTransformation() gains an argument 'fast', which switches to
an approximation of the rlog transformation. Speed-up is ~ 2x.
o A more robust estimator for the beta prior variance is used:
instead of taking the mean of squared MLE betas, the prior variance
is found by matching an upper quantile of the absolute value of
MLE betas with an upper quantile of a zero-centered Normal
distribution.
CHANGES IN VERSION 1.3.17
-------------------------
o It is possible to use a log2 fold change prior (beta prior)
and obtain likelihood ratio test p-values, although the default
for test="LRT" is still betaPrior=FALSE.
CHANGES IN VERSION 1.3.15
-------------------------
o The DESeq() function will automatically replace count outliers
flagged by Cook's distance when there are 7 or more replicates.
The DESeq() argument 'minReplicatesForReplace' (default 7)
is used to decide which samples are eligible for automatic
replacement. This default behavior helps to prevent filtering
genes based on Cook's distance when there are many degrees of
freedom.
o The results() function produces an object of class 'DESeqResults'
which is a simple subclass of 'DataFrame'. This class allows for
methods to be written specifically for DESeq2 results. For example,
plotMA() can be called on a 'DESeqResults' object.
CHANGES IN VERSION 1.3.12
-------------------------
o Added a check in nbinomWaldTest which ensures that priors
on logarithmic fold changes are only estimated for interactions
terms, in the case that interaction terms are present in the
design formula.
CHANGES IN VERSION 1.3.6
------------------------
o Reduced the amount of filtering from Cook's cutoff:
maximum no longer includes samples from experimental groups
with only 2 samples, the default F quantile is raised to 0.99,
and a robust estimate of dispersion is used to calculate
Cook's distance instead of the fitted dispersion.
CHANGES IN VERSION 1.3.5
------------------------
o New arguments to results(), 'lfcThreshold' and
'alternativeHypothesis', allow for tests of log fold changes
which are above or below a given threshold.
o plotMA() function now passes ellipses arguments to the
results() function.
CHANGES IN VERSION 1.1.32
-------------------------
o By default, use QR decomposition on the design matrix X.
This stabilizes the GLM fitting. Can be turned off with
the useQR argument of nbinomWaldTest() and nbinomLRT().
o Allow for "frozen" normalization of new samples using
previous estimated parameters for the functions:
estimateSizeFactors(), varianceStabilizingTransformation(),
and rlogTransformation(). See manual pages for details and
examples.
CHANGES IN VERSION 1.1.31
-------------------------
o The adjustment of p-values and use of Cook's distance
for outlier detection is moved to results() function
instead of nbinomWaldTest(), nbinomLRT(), or DESeq().
This allows the user to change parameter settings
without having to refit the model.
CHANGES IN VERSION 1.1.24
-------------------------
o The results() function allows the user to specify a
contrast of coefficients, either using the names of
the factor and levels, or using a numeric contrast
vector. Contrasts are only available for the Wald test
differential analysis.
CHANGES IN VERSION 1.1.23
-------------------------
o The results() function automatically performs independent
filtering using the genefilter package and optimizing
over the mean of normalized counts.
CHANGES IN VERSION 1.1.21
-------------------------
o The regularized log transformation uses the fitted
dispersions instead of the MAP dispersions. This prevents
large, true log fold changes from being moderated due to
a large dispersion estimate blind to the design formula.
This behavior is also more consistent with the variance
stabilizing transformation.
CHANGES IN VERSION 1.0.10
-------------------------
o Outlier detection: Cook's distances are calculated for each
sample per gene and the matrix is stored in the assays list.
These values are used to determine genes in which a single
sample disproportionately influences the fitted coefficients.
These genes are flagged and the p-values set to NA.
The argument 'cooksCutoff' of nbinomWaldTest() and
nbinomLRT() can be used to control this functionality.
CHANGES IN VERSION 1.0.0
------------------------
o Base class: SummarizedExperiment is used as the superclass
for storing the data.
o Workflow: The wrapper function DESeq() performs all steps
for a differential expression analysis. Individual steps are
still accessible.
o Statistics: Incorporation of prior distributions into the
estimation of dispersions and fold changes (empirical-Bayes
shrinkage). A Wald test for significance is provided as the
default inference method, with the likelihood ratio test of
the previous version also available.
o Normalization: it is possible to provide a matrix of sample-
*and* gene-specific normalization factors
|