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choonghyunryu
dlookr:Tools for Data Diagnosis, Exploration, Transformation
A collection of tools that support data diagnosis, exploration, and transformation. Data diagnostics provides information and visualization of missing values, outliers, and unique and negative values to help you understand the distribution and quality of your data. Data exploration provides information and visualization of the descriptive statistics of univariate variables, normality tests and outliers, correlation of two variables, and the relationship between the target variable and predictor. Data transformation supports binning for categorizing continuous variables, imputes missing values and outliers, and resolves skewness. And it creates automated reports that support these three tasks.
Maintained by Choonghyun Ryu. Last updated 10 months ago.
212 stars 11.05 score 748 scripts 2 dependents
bioc
granulator:Rapid benchmarking of methods for *in silico* deconvolution of bulk RNA-seq data
granulator is an R package for the cell type deconvolution of heterogeneous tissues based on bulk RNA-seq data or single cell RNA-seq expression profiles. The package provides a unified testing interface to rapidly run and benchmark multiple state-of-the-art deconvolution methods. Data for the deconvolution of peripheral blood mononuclear cells (PBMCs) into individual immune cell types is provided as well.
Maintained by Sabina Pfister. Last updated 5 months ago.
rnaseqgeneexpressiondifferentialexpressiontranscriptomicssinglecellstatisticalmethodregression
3 stars 4.48 score 7 scripts