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# GeneTonic 1.6.0
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## Other notes
* The manuscript about `GeneTonic` is now available on bioRxiv at https://www.biorxiv.org/content/10.1101/2021.05.19.444862v1 - the citation item has been updated accordingly
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* `GeneTonic`'s Shiny app now uses the latest version of `bs4Dash`, which introduced some breaking changes. Most elements should be now available as they were in the original implementation
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# GeneTonic 1.4.0
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## New features
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* The main function `GeneTonic()` gains an extra parameter, `gtl` - this can be used to provided a named list object where a single parameter is passed (e.g. after loading in a single serialized object), while the functionality stays unaltered.
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The same `gtl` parameter is also exposed in other functions of the package - see the vignette for some examples, or check the documentation of each specific function.
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To create this object in a standardized manner, the function `GeneTonic_list()` is now available.
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* A new function to perform fuzzy clustering (following the implementation of DAVID) is added - see `gs_fuzzyclustering()`. It returns a table with additional information on the cluster of genesets and the status of each set in the group.
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* The `ggs_backbone()` function can extract the bipartite graph backbone from the Gene-Geneset graph, this can be further explored below the main element in the Gene-Geneset panel. Once the backbone is created, you are one step away from checking out the genes that act as "hubs" in the Gene-Geneset graph, and possibly identify the nodes playing an essential role based on their connectivity.
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* A new function, `signature_volcano()`, adds a signature volcano plot to the Gene-Geneset panel. This plot displays the genes of a chosen geneset in color, while the remaining genes of the data are shown as shaded dots in the background.
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The color and transparency of the displayed genes can be chosen by the user, as well as the option to display the gene names of all genes in the geneset.
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* `gs_summary_overview()` can also generate bar plots instead of the default segment-dot (lollipop) plots.
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* A new function, `summarize_ggs_hubgenes()`, builds a DT `datatable` for the Gene-Geneset panel. This table lists the individual genes of the input data and their respective degree in the Gene-Geneset graph. Furthermore, `action buttons` linking to the NCBI, GeneCards and GTEx databases are included for each gene.
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* `gene_plot()` gains the extra `labels_display` argument to control whether the labels are at all shown; now the display of the labels is also respecting the jitter of the points
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## Other notes
* `gs_heatmap()` has now the possibility to set the arguments to the call to heatmap generating function, via ellipsis
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* `gs_heatmap()` handles the colors in a consistent way over the different executions, without relying on the random palettes provided by the `Heatmap`'s annotation functionality - could have been misleading if encountering too similar hues are randomly picked
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* the plots obtained via `gs_mds()` and `gs_volcano()` now always display the line segments for the data points to be labeled (increasing the readability - as "matching back the label to the drawed circle" - thanks for the suggestion!)
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# GeneTonic 1.2.0
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## New features
* The geneset distillery is officially open! `GeneTonic` offers functionality to aggregate together gene sets into overarching biological themes, based on a network-based refinement of the enrichment map.
Corresponding graphical functionalities are also extended to accommodate meta-genesets.
An efficient implementation for the Markov clustering on graph objects is also provided
* `GeneTonic` can now receive the input of many other tools for functional enrichment analysis - this includes the output (text export) of DAVID (`shake_davidResult`), enrichr (from website and via the package, with `shake_enrichrResult`), fgsea (`shake_fgseaResult`), and g:Profiler (with `shake_gprofilerResult`, which can handle the textual output from the website, as well the one from the call to the `gost` in `gprofiler2`)
* An export button to a `SummarizedExperiment` object for `iSEE` and its underlying machinery has been added. If the visualization options in `GeneTonic` are not exactly what you would expect, you might find an excellent venue in the `iSEE` framework
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## Other notes
* Added an additional mechanism for safe fails when not finding the GO Term and searching for the definition - this could happen e.g. when the term becomes outdated and is removed from the `GO.db` package, or also mistyped if entered by hand at some point.
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* `gs_heatmap` has a new parameter, `plot_title`, to override the title to be displayed and set it to any custom string
* It is now possible to save a snapshot of the graphs created with `visNetwork`
* The Gene Box now also contains links to the GTEx portal for the selected feature
* `export_to_sif` enables to export a graph object to a text file, encoded with the SIF format
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# GeneTonic 1.0.0
## Other notes
* `GeneTonic` has become a part of Bioconductor!
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# GeneTonic 0.99.0
## Other notes
* `GeneTonic` is now submitted to Bioconductor!
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# GeneTonic 0.10.0
## New features
* The functions for comparing different `res_enrich`, namely `gs_radar`, `gs_summary_overview_pair`, and `gs_horizon` were internally rewritten to accept correctly the comparison elements
* The vignette now covers completely the usage cases, with the full description of the user interface of `GeneTonic`
* The introductory tours are available for all the main panels of `GeneTonic`. Feel free to try them out!
## Other notes
* Some widgets have been added in the UI of `GeneTonic` to enable finer control of the output aspect
* Examples and unit tests have been further expanded, with better messages for checking progress
* `check_colors` verify that color palettes are correctly provided
* Info on `GeneTonic` is now provided with modal dialog windows, rather than in a separate tab
* The tab names in the main app were slightly edited to better describe their content
* The info boxes are now shown with a uniform style, based on the `bs4Card` UI element
* The UI elements have now a better spacing throughout the different tabs
* Soon the package will be submitted to Bioconductor!
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# GeneTonic 0.9.0
## New features
* `GeneTonic` sports a blazing new hex sticker - say bye to the original draft!
* The overview DT `datatable`s has some styling with color bars - e.g. for DE results - to enhance the visual perception of numeric values (e.g. log2FoldChange)
* `gs_heatmap` can now take a custom list of gene identifiers (when no geneset is passed)
* The color palettes in enrichment maps now respect the values and the range specified of the numeric values to be used for mapping to colors
* `gs_mds` is now optionally returning a data.frame, to be further used for custom plotting or downstream processing
* `gs_summary_overview` now has coloring enabled by the variable of choice
## Other notes
* The UI has received some restyling (e.g. in the choice of the icons for the dropdown menus, or the name of some buttons)
* Added tour contents for most of the functionality
* Added link to the demo instance
* Added examples for overlap functions, gene info buttons, map2color, and deseqresult2df
* Extended documentation of some parameters
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* Some functions have gained an alias for calling them: `gs_spider` is equivalent to `gs_radar`, and `gs_sankey` is equivalent to `gs_alluvial`
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# GeneTonic 0.8.0
## New features
* `GeneTonic` now delivers bundled example objects to make examples and tests slim
* `gs_volcano` can now plot points by different colors according to the columns of interest
* `GeneTonic` has a fully fledged manual describing its functionality and user interface
## Other notes
* Now using ids for genes and genesets for exchanging information in the app
* Added examples for all functions
* Most tabs have working tours - anchor and text elements
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# GeneTonic 0.7.0
## New features
* Introduced a uniform interface for calculating different similarity/distance matrices. This enables the usage in the different functions that might need such matrices for further downstream processing (e.g. `enrichment_map()`, `gs_mds()`)
* First appearance of `gs_dendro()` to display distance matrices with some visualization sugar, as an alternative to other methods
* The `n_gs` and `gs_ids` are exposed to more functions to enable custom subsets of the enrichment results to be inspected
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# GeneTonic 0.6.0
## New features
* `gs_heatmap` now relies on `ComplexHeatmap`, to avoid the issues with Shiny of not displaying the outputs in the app, and enabling a comfortable heatmap annotation
* Many functions gain the possibility to pass a set of custom geneset identifiers to be added to the top N sets (default): among these, `gs_mds`, `gs_volcano` (parameter: `gs_labels`), `gs_alluvial`, `ggs_network`, `enrichment_map`, and `enhance_table` (using `gs_ids`)
## Other notes
* `gs_ggheatmap` got renamed to `gs_scoresheat`
* The report generated from the bookmarked content is expanded in its default content
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# GeneTonic 0.5.0
## New features
* `GeneTonic` now enforces a format for `res_enrich`, and provides some conversion functions, `shake_*()`. Requirements are specified in the documentation, if an appropriate converter does not (yet) exist.
* The reporting feature is active to some extent on the bookmarked content.
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# GeneTonic 0.4.0
## New features
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* Added functionality for bookmarking
* Bookmarking can work (PoP) by pressing a key (left control)!
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* `gene_plot` can enforce a plot type overriding the default based on the number of samples per condition
* `GeneTonic` uses now `bs4Dash` and many of its nice features, replacing the previous implementation based on `shinydashboard`
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# GeneTonic 0.3.0
## Other notes
* Rearranging the order of parameters to harmonize it across functions, and uniforming similarly called parameters
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# GeneTonic 0.2.0
## New features
* added geneset scoring calculation and corresponding heatmap
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# GeneTonic 0.1.0
## New features
* much of the functionality available, in a proof of concept format
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# GeneTonic 0.0.1
## New features
* backbone of the project started!
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