shinyButchR: Decompose Data with Non-negative Matrix Factorization

★ ★ ★ ★ ☆ | 1 reviews | 3 users

Author Ayla Navarro Data Scientist

About the app

ShinyButchR is an interactive R/Shiny app to perform NMF on an input matrix.Non-negative matrix factorization (NMF) has been widely used for the analysis of genomic data to perform feature extraction and signature identification due to the interpretability of the decomposed signatures. ShinyButchR uses {ButchR} R package to run the matrix decomposition and generate diagnostic plots and visualizations that helps to find association of the NMF signatures to known biological factors. Original publication: Andres Quintero, Daniel Hübschmann, Nils Kurzawa, Sebastian Steinhauser, Philipp Rentzsch, Stephen Krämer, Carolin Andresen, Jeongbin Park, Roland Eils, Matthias Schlesner, Carl Herrmann, ShinyButchR: interactive NMF-based decomposition workflow of genome-scale datasets, Biology Methods and Protocols, bpaa022.

Data Safety

Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time.

Rate this App

Have you used this app yet? Want to rate it?

You must login to submit votes

App Updates and Comments

No application notes or reviews.

Post response or reviews

Other Similar Apps

BayesianSensitivity Learn Sensitivity Analysis in Bayesian Statistics Marieke Visser

5MFSrctabtest Insightful Tests for Contingency Table Mizutani

START Elegant RNAseq analysis and visualization resource Jessica Minnier

shinyUnitConvert Seamlessly convert measurements between units Obi Obianom

exploratory A Tool for Large-Scale Exploratory Analyses Jin Kim

shinyButchR Decompose Data with Non-negative Matrix Factorization Ayla Navarro

biomeShiny Visualize microbiome data Ayla Navarro

dscoreApp Compute Implicit Association Test D-score Ottavia M. Epifania

plotsOfData Comparing Experimental Conditions Made Easy Joachim Goedhart

plotTwist Visualizing Time-Lapse Data with Condition Indicators Joachim Goedhart

About ShinyAppStore

About the ShinyAppStore platform

ShinyAppStore is the leading platform for showcasing and utilizing a wide range of Shiny applications developed with the shiny R package. We will be expanding access to allow shiny apps built with Python as well. Users can submit and explore applications across various categories, add verified apps to their personal library, and enjoy easy access. The platform features well-designed apps with detailed descriptions and evaluations by users. All applications on ShinyAppStore are user-owned and open source, with the source code readily available for download on our GitHub page.
More "about" details