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DRomics (development version)
NEW FEATURES - Correction of the definition of starting values of the
parameter e of the Gaussprobit model and of the Hill model. This could
help the fit of those models in few cases. - Move the git repository of
the DRomics project from GitHub to GitLab-IN2P3. Dromics is now
available at https://gitlab.in2p3.fr/drgarden/DRomics
BUG FIXES
DRomics 2.6-2
NEW FEATURES
- Add of a component in the output of RNAseqdata,
continuousomicdata(), continuousanchoringdata(), microarraydata() and
(data.sd, which gives, for each item, the sd of the response per
condition - NA if no replicate for a condition).
- Add a new argument in drcfit(), named deltaAICminfromnullmodel, in
order to relax requirements on the information criterion to keep the
best fitted model (see ? drcfit()).
- Modification of curvesplot() to be able to put its argument
dose_log_transfo by default at TRUE as in other functions. Curvesplot
now use minimum and maximum values of the chosen BMD to fix the rage on
which the theoretical curve is calculated (and plotted) ad so the chosen
BMD is required in the input of the function.
- Add the argument dose_log_transfo in plot.continuousanchoringdata(),
by default at TRUE.
- In each plot where the x log is in scale, add it in the label of the
x axis.
- Add in the output of drcfit named information.criterion.val the
information criterion value of the null model and change of the names of
those components (replacement of AIC by InfoCrit in their names).
BUG FIXES
- Add the sample names in column names of the output of
formatdata4DRomics.
- Change the default value of range4boxplot (in plot.RNAseqdata(),
plot.continuousomicdata(), plot.microarraydata()) to 0 instead of 1e6 so
that whiskers always go to the extrems.
DRomics 2.5-2
NEW FEATURES
- Put the argument dose_log_transfo by default at TRUE in functions
plot.drcfit(), plotfit2pdf(), targetplot() and BMD_log_transfo at TRUE
in functions bmdplot(), bmdplotwithgradient() and
sensitivityplot().
- Add of the argument BMD_log_transfo by default at TRUE in functions
plot.bmdcalc() and plot.bmdboot().
- Put the argument scaling by default at TRUE in curvesplot() and
bmdplotwithgradient().
- Add of xlab and ylab to plots from curvesplot() (signal or scaled
signal for y-axis) and change the color lab in “scaled signal” in plots
from bmdplotwithgradient() when the signal is scaled.
- Add the possibility (new argument addBMD of curvesplot()) to add
points at BMD-BMR values on curvesplots and put it by default at
TRUE.
- Add the Peer Community Journal citation.
- Add of the function bmdfilter() proposing filters to retain only the
items associated to the best estimated BMD values in DRomics workflow
output.
- Add of arguments line.size, line.alpha and point.alpha in
sensitivityplot() and in bmdplot()
- Add a free y scale for plots of residuals, to make them readable
even for anchoring data with endpoints of very different orders of
magnitude.
BUG FIXES
- Fix a bug that appeared very occasionally in the bootstrap procedure
(error in bmdboot() due to fail of the call to uniroot()).
- Define the scale of nb of items in sensitivityplot() and trendplot()
to get 4 integer values from min max and rounded 0.5 and 0.75
quartiles.
- Fix a bug in plotfit2pdf : now the items appear in the same order
(by p-value from the selection) even when BMD values are added to the
plot of fitted curves.
- Fix a bug in drcfit that could occur for anchoring data sets with
many NA values.
DRomics 2.5-0
NEW FEATURES
- Add of the function selectgroups() to select most represented and/or
most sensitive groups on which to focus for biological
interpretation.
- Add of an RNAseq data with batch effect (zebraf) with an example of
use of ComBat_seq{sva} to correct the batch effect.
- Add of PCAdataplot() a function to visualize omic data.
- Add of a column named maxychange (maximal absolute y change (up or
down) from the control) in the output of drcfit() (and so of bmdcalc()
and bmdboot())
- Add an argument named scaling in curvesplot() and
bmdplotwithgradient() that enables the scaling of the shifted signal (y
- y0) by dividing it by maxychange (new output of drcfit).
- Add the function formatdata4DRomics() to format data for DRomics
from the matrix of the signal measurements and the vector of
observed/tested doses.
- Add range4boxplot by default fixed at 1e6 to the arguments of plot
functions of RNAseqdata(), microarraydata() and continuousomicdata()
objects, to prevent the automatic plot of many outliers as individual
points and so produce lighter plot files.
- Change the default value of transfo.method in RNAseqdata() (put at
“vst” when the number of samples is larger than 30)
BUG FIXES
- Make sensitivityplot works even when BMDsummary is not given in
input (“first.quartile” defined as default)
DRomics 2.4-0
NEW FEATURES
- Forbid the use of the “ANOVA” method to select items when more than
half of the doses are without replicates (e.g. for in situ data)
- Add of an example data set named insitu_RNAseq_sample.txt for tests
and examples
- Add of arguments BMDoutput and BMDtype to plot.drcfit() and
plotfit2pdf to make possible the add of BMD values and confidence
intervals on the plot of fits.
- Add of an argument (enablesfequal0inGP) by default at TRUE in
drcfit(), to enable the simplification of the Gauss-probit model with 5
parameters by its version with f = 0 (which corresponds to the probit
model) to prevent overfitting when the parameter f is close to 0
(evaluated using the information criterion).
- Add of an argument (enablesfequal0inLGP) by default at TRUE in
drcfit(), to enable the simplification of the log-Gauss-probit model
with 5 parameters by its version with f = 0 (which corresponds to the
log-probit model) to prevent overfitting when the parameter f is close
to 0 (evaluated using the information criterion).
- Add of an argument (preventsfitsoutofrange) by default at TRUE in
drcfit() to prevent fits of biphasic models giving an extreme value out
of the range of the observed signal, that could happen in rare
cases.
- Add of a defensive code in microarraydata(), continuousomicdata(),
continuousanchoringdata(), RNAseqdata(), and the argument backgrounddose
was added to prevent the use of DRomics on a design with no dose at
zero. In case of observationnal data, to prevent calculation of BMDs by
extrapolation, doses considered as corresponding to the background
exposition must be fixed at 0, for example using this new argument.
DRomics 2.3-0
NEW FEATURES
- An argument facetby2 was added to bmdplotwithgradient() and to
curvesplot() to be able to split those plots in rows AND columns using
facet_grid().
- Add of the function trendplot() to plot the repartition of
dose-response trend per group of items.
- Add of the function sensitivityplot() to plot various summaries of
BMD values per group of items.
- Add of the function bmdplot() that takes extendedres as a first
argument as trendplot(), bmdplotwithgradient(), sensitivityplot() and
curvesplot().
- Removing of the drcfit() argument sigmoid.model that was confusing
for some users and not useful for a common use of the package.
DRomics 2.2-0
NEW FEATURES
- The second-order Akaike criterion (AICc) recommended to prevent
overfitting with small number of data poinst in each dose-response
crives was implemented and defined as the default option for the
argument information.criterion in drcfit().
- The example file of the package (?DRomics) was replaced by a
vignette to help the use of the package and of the Shiny
application.
- Improvement of the computation of low BMD values for designs with a
high ratio between the maximal and minimal (non null) tested doses, with
the add of two arguments to bmdcalc, minBMD and ratio2switchinlog.
- Add of two columns in the output of bmdcalc (BMR.zSD and
BMR.xfold)
- Add of a function plotfit2pdf() to plot all fits (or residual plots)
in a pdf file, using the raw scale or the log scale of the dose and
removing of the option saveplot2pdf of drcfit().
- Replacement of the class ‘metabolomicdata’ by the class
‘continuousomicdata’ and add of a function continuousomicdata() that is
called by metabolomicdata() but could be used on other types of
continuous omics data such as proteomics data.
- default color changed for bmdplotwithgradient() (green replaced by
blue for color blind people)
- Removing of three of the four datasets from Zou et al. 2017 to make
the package lighter
- Add a test on residuals for heteroscedasticity and an output of
drcfit: residualtests
BUG FIXES
- handling in RNAseqdata() of all the cases for which vst() may give a
stop message.
DRomics 2.1-3
NEW FEATURES
- Add of the function bmdplotwithgradient()
- Add of the function ecdfquantileplot()
- Add of an argument named information.criterion in drcfit() to choose
the use of AIC or BIC for the best fit model selection process.
- Add of the possibility to enter data as an R object of class
data.frame
- Add of published datasets (Zhou et al. 2017, Larras et al. 2020) and
corresponding help pages
- Add of function continuousanchoringdata and modification of
itemselect() to enable the selection of significant responses on
continuous anchoring data.
- Add an argument dose_log_transfo in plot.drcfit to enable the use of
log tranformation of the x-axis.
- Add an element in the list of drcfit() output : unfitres giving some
information on selected items for which the modelling step is not
successful
- Add of a function to plot raw data on target items optionally with
fitted curves for items which have be selected in step 2 and for which
step 3 was successful (new function targetplot()).
- Add of the argument transfo.blind in RNAseqdata()
- Add of the argument free.y.scales in curvesplot() to enable free y
scales in facets and dose_log_transfo to use an x log scale for plot and
calculation of signal.
- Add of examples in DRomics.Rd to help a multi-omics approach
- Add of the argument round.counts to enable rounding of read counts
that would come from Kallisto or Salmon.
BUG FIXES
- make the direct use of varianceStabilizingTransformation() automatic
for small RNAseq data sets (low number of items: < 1000) to fix a bug
in RNAseqdata() that occured when using vst() with small datasets.
DRomics 2.0-1
NEW FEATURES
- Add of a filter in itemselect(), to exclude from the selection items
with a too high proportion of non detected values (assuming they were
imputed to a common minimum value).
- Add of an argument point.type that enables the change of point type
in, ecdfplotwithCI or its coding by a given factor.
- Add of an argument plot.type in function plot.drcfit() to enable
residual plots.
DRomics 2.0-0
NEW FEATURES
- Replacement of the function omicdata() by the function
microarraydata() and add of two new data importation functions,
RNAseqdata() and metabolomicdata().
DRomics 1.1-3
NEW FEATURES
- Replacement of the argument named bytypology of plot.bmdcalc by an
argument named by which can taka three values, “none”, “trend”, “model”
or “typology”.
- Add of a function to plot fitted curves (new function
curvesplot()).
DRomics 1.1-2
NEW FEATURES
- Add of a function to plot the distribution of a variable as an ecdf
plot, with confidence intervals on this variable (new function
ecdfplotwithCI)
DRomics 1.1-1
NEW FEATURES
- Add of bootstrap computation of confidence intervals on benchmark
doses (new function bmdboot)
- Add of a function to plot the distribution of a variable as an ecdf
plot, with confidence intervals on this variable (new function
ecdfplotwithCI)
DRomics 1.0-1
NEW FEATURES
- Add of column yextrem in the results of drcfit (y value at the
extremum for biphasic curves)
DRomics 1.0-0
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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