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Name: Shiny App Store: Showcase and Share R and Python Shiny Innovations

Type: Organization

Bio: Where Useful Shiny Apps Come to Life. Find, Explore, and Utilize Stunning Apps Built for Specific Use Cases. The Shiny App Store is an Open Source Platform.

Location: United States of America

Blog: https://shinyappstore.com

About the Shiny App Store platform 👋⚡

🔭 A platform to showcase and grow various shiny applications made with the shiny R package.

👯 You or someone you know may have created a number of shiny apps. You don't know where or how to get to them easily, and you are not able to gauge the usage or popularity of the apps. We have created an app store like there is for Android and Apple and Windows stores.

📫 Submit and explore applications from various categories. Add verified apps to your personal library, and use the apps with ease.

😄Find well thought-through apps with in-depth description and evaluation by various users.

Write an email: [email protected]

Quick links

Use Apps

Featured App R codes

Shiny App Store: Showcase and Share R and Python Shiny Innovations's Projects

2mfsttest icon 2mfsttest

Go-To Tool to Explore Parametric T Test Analysis by MEPHAS

6mfsanova icon 6mfsanova

Explore Various Statistical Analysis of Variance by MEPHAS

abcmetaapp icon abcmetaapp

Simulation-based Estimation of Mean and Standard Deviation for Meta-analysis by Deukwoo Kwon

apcoa icon apcoa

Easy Covariate Adjusted Principal Coordinates Analysis by Christine B Peterson

assesscircc icon assesscircc

Study the Benefits of Composite Outcomes by David Moreau and Kristina Wiebels

baplotter icon baplotter

Shiny app for Bland-Altman plots by Joachim Goedhart in collaboration with Mark Rishniw

bayesianint icon bayesianint

Explore Bayes factors in Testing Interactions by Bence Palfi and Zoltan Dienes

bayesiansensitivity icon bayesiansensitivity

Learn Sensitivity Analysis in Bayesian Statistics by Sarah Depaoli and Sonja Désirée Winter and Marieke Visser

bcoapp icon bcoapp

Tools for creating and working with BioCompute Objects (BCOs) by Seven Bridges

beerapp icon beerapp

automated high-throughput explorative analysis of multivariate behavioral data by Hristo Todorov and Susanne Gerber

biomeshiny icon biomeshiny

a graphical interface for visualizing microbiome data, primarily based around the "phyloseq" and "microbiome" libraries, with the "shiny" library being used to develop the interface

caffeinepk icon caffeinepk

R package for simulation of caffeine concentration by Sungpil Han

computcrm icon computcrm

Continuous Reassessment Method by Sungpil Han

contprobdist icon contprobdist

Shiny App to Explore Continuous Probability Distributions by MEPHAS

countdowntm icon countdowntm

A simple countdown timer for use in daily activities

covidscreen icon covidscreen

COVID-19 Testing Strategy Assessment by Jesse Smith

cyanus icon cyanus

Systematic Comparison of Differential Analysis Methods for CyTOF Data by Lis Arend

dcellerate icon dcellerate

A Shiny app for analyzing and visualizing scRNA-seq data. by BioData

dime icon dime

A Gateway to Disease-Gene Networks (Devaprasadet al. Front Immunol. 2021; 12: 669400.) by Aridaman Pandit

dimregr icon dimregr

Unlock Dimensional Regression Analysis 2 by MEPHAS

discrprobdist icon discrprobdist

Shiny App to Explore Discrete Probability Distribution by MEPHAS

dnarchitect icon dnarchitect

A Shiny App for visualizing genomic data by Alos Diallo

dscoreapp icon dscoreapp

A Shiny Web Application for computing the IAT D-score by Ottavia M. Epifania

dtametasa icon dtametasa

Meta-Analysis of Diagnostic Test Accuracy and Sensitivity Analysis by MEPHAS

efapca icon efapca

Demystify Advanced Dimensional Analysis by MEPHAS

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