NEWS.md
QFeatures::longFormat()
when rownames are numerical (reported upstream https://github.com/waldronlab/MultiAssayExperiment/issues/331).reshape2::melt
, required for MultiAssayExperiment::longFormat()
.filterFeatures()
when the filter variable also exists in the global environment (issue #208).readQFeaturesFromDIANN()
.is.vector()
(see issue #203)readQFeatures()
multi-set support (ported from scp::readSCP()
- see issue #199).readQFeaturesFromDIANN()
function to import DIA-NN report files (ported from scp::readSCPfromDIANN()
- see issue #199).nNA()
and filterNA()
and man pages to clarify percentages and proportions (see #189).dropEmptyAssays()
function (see issue #184).|>
rather than %>%
.selectRowData()
c
methods to combine QFeatures objects.nrows
and ncols
methods. Also added use.names argument (cf ?BiocGenerics::dims)filterFeatures()
filterFeatures()
filterFeatures()
to control whether to keep or remove features for assays that do not contain the filter variable. Also added message printing for a better overview of which variable were found.addAssay()
to solve issue #104.addAssay()
and dramatically improved the usage of computational resources.colData
is automatically transferred from the assay to the QFeatures object.removeAssay()
and replaceAssay()
. Together with addAssay()
, these functions are used to implement the replacement method [[<-
required to solve issue #57.adjacencyMatrix,SummarizedExperiment
and adjacencyMatrix,QFeatures
methods using ProtGenerics::adjacencyMatrix
(available in version >= 1.27.1).updateObject()
method for QFeatures
objects.aggregateFeatures()
and new adjacencyMatrix()
accessor.feat3
example data to demonstrate and test more complex AssayLinks structure.plot,QFeautres
function to avoid cluttering of nodes.feat3
.AssayLinks
AssayLinks
to ensure consistent datarbindRowData
: a function to select variables in the rowData
and bind it in a single DataFrame
rowData<-
: this new method replaces replaceRowDataCols
to offer a more standardize functionality.QFeatures
vignette to expand on how to manipulate the metadata within a QFeatures
objectreplaceRowDataCols
and removeRowDataCols
, two functions to streamline manipulation of rowData within a QFeature
object.countUniqueFeatures
, a function to count the number of unique features per sample.Manually install preprocessCore (see https://github.com/Bioconductor/bioconductor_docker/issues/22 for details) to use quantile normalisation in vignette and tests.
Update vignette to show normalize()
and logTransform()
directly on a QFeatures
object and reference the QFeaturesWorkshop2020 workshop and WSBIM2122 chap 8.
nNA
with new implementation and additional unit tests <2020-10-23 Fri>longFormat
function returns a long DataFrame
with quantitative data along with metadata (see #116) <2020-10-8 Thu>rowData
method returns a list containing the rowData
for all assays (see #86) <2020-09-16 Wed>