Showing 6 of total 6 results (show query)
bioc
clusterExperiment:Compare Clusterings for Single-Cell Sequencing
Provides functionality for running and comparing many different clusterings of single-cell sequencing data or other large mRNA Expression data sets.
Maintained by Elizabeth Purdom. Last updated 5 months ago.
clusteringrnaseqsequencingsoftwaresinglecellcpp
38 stars 9.62 score 192 scripts 1 dependentsbioc
SpatialFeatureExperiment:Integrating SpatialExperiment with Simple Features in sf
A new S4 class integrating Simple Features with the R package sf to bring geospatial data analysis methods based on vector data to spatial transcriptomics. Also implements management of spatial neighborhood graphs and geometric operations. This pakage builds upon SpatialExperiment and SingleCellExperiment, hence methods for these parent classes can still be used.
Maintained by Lambda Moses. Last updated 2 months ago.
datarepresentationtranscriptomicsspatial
49 stars 9.40 score 322 scripts 1 dependentsbioc
MLSeq:Machine Learning Interface for RNA-Seq Data
This package applies several machine learning methods, including SVM, bagSVM, Random Forest and CART to RNA-Seq data.
Maintained by Gokmen Zararsiz. Last updated 5 months ago.
immunooncologysequencingrnaseqclassificationclustering
4.81 score 27 scripts 1 dependents
loosolab
wilson:Web-Based Interactive Omics Visualization
Tool-set of modules for creating web-based applications that use plot based strategies to visualize and analyze multi-omics data. This package utilizes the 'shiny' and 'plotly' frameworks to provide a user friendly dashboard for interactive plotting.
Maintained by Hendrik Schultheis. Last updated 4 years ago.
2 stars 4.30 score 7 scripts
liuy12
SCdeconR:Deconvolution of Bulk RNA-Seq Data using Single-Cell RNA-Seq Data as Reference
Streamlined workflow from deconvolution of bulk RNA-seq data to downstream differential expression and gene-set enrichment analysis. Provide various visualization functions.
Maintained by Yuanhang Liu. Last updated 10 months ago.
bulk-rna-seq-deconvolutiondeconvolutiondifferential-expressionffpegeneset-enrichment-analysisscdeconrsingle-cell
4 stars 3.60 score 4 scripts
sasan-puri
corkscrew:Preprocessor for Data Modeling
Includes binning categorical variables into lesser number of categories based on t-test, converting categorical variables into continuous features using the mean of the response variable for the respective categories, understanding the relationship between the response variable and predictor variables using data transformations.
Maintained by Santhosh Sasanapuri. Last updated 9 years ago.
1.00 score 6 scripts