The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
overlapInfoForStudy()
function.plot_l2g
function.Fixed and issue with the plot_l2g()
function for the
cases when the disease
parameter were not selected. The
previous function were plotting only top disease for one gene. The
function now updated with two more parameters to expand the
plot_l2g()
functionality for plotting disease agnostic
scenario. These two parameters are:
top_n_disease
(default: 1
): Determines
the number of top diseases to plot for each gene, ranked by L2G score.
Increase this value to include more diseases in the analysis. Use in
conjunction with being disease-agnostic to dynamically select the top
diseases for each gene.
l2g_cutoff
(default: 0.5
): Sets the
minimum L2G score threshold for diseases to be considered in the plot.
Increasing this value can help reduce plot clutter by focusing on
higher-confidence associations.
variantInfo
function where the
wrong variable (result
) was being referenced, leading to an
‘object not found’ error. Modified variantInfo()
to
correctly process the API response data. Additionally, added checks to
ensure that the results are not NULL
before processing,
which improves the function’s robustness and error handling.test plot_l2g.R
test case to provide
better error handling and diagnostic information. The test now uses a
tryCatch
block to gracefully handle errors and explicitly
fail with a clear message, enhancing the reliability and maintainability
of the test suite.genesForVariant()
on giving an
error when using rsId
variants.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.