Showing 4 of total 4 results (show query)
bioc
Rgraphviz:Provides plotting capabilities for R graph objects
Interfaces R with the AT and T graphviz library for plotting R graph objects from the graph package.
Maintained by Kasper Daniel Hansen. Last updated 6 days ago.
graphandnetworkvisualizationzlib
11.51 score 1.2k scripts 107 dependentsbioc
debrowser:Interactive Differential Expresion Analysis Browser
Bioinformatics platform containing interactive plots and tables for differential gene and region expression studies. Allows visualizing expression data much more deeply in an interactive and faster way. By changing the parameters, users can easily discover different parts of the data that like never have been done before. Manually creating and looking these plots takes time. With DEBrowser users can prepare plots without writing any code. Differential expression, PCA and clustering analysis are made on site and the results are shown in various plots such as scatter, bar, box, volcano, ma plots and Heatmaps.
Maintained by Alper Kucukural. Last updated 5 months ago.
sequencingchipseqrnaseqdifferentialexpressiongeneexpressionclusteringimmunooncology
61 stars 7.80 score 65 scripts
junjunlab
ClusterGVis:One-Step to Cluster and Visualize Gene Expression Data
Streamlining the clustering and visualization of time-series gene expression data from RNA-Seq experiments, this tool supports fuzzy c-means and k-means clustering algorithms. It is compatible with outputs from widely-used packages such as 'Seurat', 'Monocle', and 'WGCNA', enabling seamless downstream visualization and analysis. See Lokesh Kumar and Matthias E Futschik (2007) <doi:10.6026/97320630002005> for more details.
Maintained by Jun Zhang. Last updated 23 days ago.
sequencingclusterprofilersummarizedexperimentmfuzzcomplexheatmapgene-clusteringgene-expressionvisualization
281 stars 6.80 score 30 scriptsbioc
oppti:Outlier Protein and Phosphosite Target Identifier
The aim of oppti is to analyze protein (and phosphosite) expressions to find outlying markers for each sample in the given cohort(s) for the discovery of personalized actionable targets.
Maintained by Abdulkadir Elmas. Last updated 5 months ago.
proteomicsregressiondifferentialexpressionbiomedicalinformaticsgenetargetgeneexpressionnetwork
2 stars 4.30 score 2 scripts