Nothing
\title{ISAnalytics News}
compute_near_integrations
: when provided recalibration
map export path as a folder now the function works correctly and produces
an automatically generated file nameaggregate_metadata
: now paths to folder that contains
Vispa2 stats is looked up correctly. Also, VISPA2 stats columns are aggregated
if found in the input data frame independently from the parameter
import_stats
.compute_abundance
can now take as input aggregated matrices and has
additional parameters to offer more flexibility to the user. Major updates
and improvements also on documentation and reproducible examples.import_single_Vispa2Matrix
: import is
now preferentially carried out using data.table::fread
greatly speeding up
the process - where not possible readr::read_delim
is used insteadimport_association_file
: greatly improved
parsing precision (each column has a dedicated type), import report now
signals parsing problems and their location and signals also
problems in parsing dates.
Report also includes potential problems in column names and signals missing
data in important columns. Added also the possibility to give various file
formats in input including *.xls(x)
formats.top_integrations
can now take additional parameters to compute
top n genes for each specified groupCIS_volcano_plot
due to poor precision
(easier to add faceting manually) and added parameters to return the
data frame that generated the plot as an additional result. Also, it is
now possible to specify a vector of gene names to highlight even if they're
not above the annotation threshold.remove_collisions
CIS_grubbs
and cumulative_count_union
CIS_volcano_plot
sample_statistics
aggregate_values_by_key
has a simplified interface and supports
multi-quantification matricesimport_parallel_Vispa2Matrices_interactive
and
import_parallel_Vispa2Matrices_auto
now have an option to return
a multi-quantification matrix directly after import instead of a listthreshold_filter
, top_integrations
compute_abundance
comparison_matrix
that ignored custom column namesISanalytics is officially on bioconductor!
comparison_matrix
and separate_quant_matrices
as_sparse_matrix
compute_near_integrations
remove_collisions
import_single_Vispa2Matrix
to remove non significant
0 valuesISADataFrame
: now the package only uses standard tibblesAny scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.