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Search of 'analysis' within category
aPCoA: Easy Covariate Adjusted Principal Coordinates Analysis analysis. covariate Christine B Peterson ★ ★ ★ ★ ☆ (2)
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SuperPlotsOfData: Efficient Replicate Identification and Analysis analysis. statistics Joachim Goedhart ★ ★ ★ ★ ★ (3)
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pkrshiny: Streamlined Non-Compartmental Analysis analysis. pharmacokinetic Kyun-Seop Bae ★ ★ ★ ★ ★ (2)
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fileComparer: Unleash the Power of Universal File Comparison comparison. analysis Jayson Hahn ★ ★ ★ ★ ★ (2)
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shinySeq: Discover, Analyze, and Interpret RNA-Seq Data Analysis rnaseq. analysis Alanna Weaver ★ ★ ★ ★ ☆ (2)
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START: Elegant RNAseq analysis and visualization resource rnaseq. analysis Jessica Minnier ★ ☆ ☆ ☆ ☆ (1)
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ggMarginal: Add marginal plots to ggplot2 scatterplots tutorial. analysis Dean Attali ★ ☆ ☆ ☆ ☆ (1)
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MSMplus: Simplify and Present Multi-State Analysis Results msm. analysis Levi Bilal ★ ☆ ☆ ☆ ☆ (1)
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PDpredictor: Predict Parkinson's Rate of Progression with Ease predict. analysis Ryan Peterson ★ ☆ ☆ ☆ ☆ (1)
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TPWshiny: Interactive Genome-Wide NCI-60 Cell Line Characterization explore. analysis Ayla Navarro ★ ★ ★ ★ ★ (2)
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shinyButchR: Decompose Data with Non-negative Matrix Factorization data. analysis Ayla Navarro ★ ★ ★ ★ ☆ (2)
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dCellerate: Unlock Single-Cell RNA-Seq Insights with Ease rnaseq. analysis Ayla Navarro ★ ★ ★ ★ ★ (2)
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genomeSidekick: Simplified RNA-seq and ATAC-seq Analysis rnaseq. analysis Doug Chapski ★ ★ ★ ★ ☆ (4)
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GNOSIS: Empowering Reproducible Cancer Genomics Survival Analysis cancer. analysis Aaron Golden ★ ★ ★ ★ ☆ (3)
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efaPCA: Demystify Advanced Dimensional Analysis pca. analysis Mizutani ★ ☆ ☆ ☆ ☆ (1)
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dimRegr: Unlock Dimensional Regression Analysis data. analysis Mizutani ★ ★ ★ ★ ☆ (2)
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computCRM: Continuous Reassessment Method explore. analysis Sungpil Han ★ ☆ ☆ ☆ ☆ (1)
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exploratory: A Tool for Large-Scale Exploratory Analyses data. exploratory Jin Kim ★ ★ ★ ★ ★ (3)
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shinyNGS: Facilitate downstream analysis of RNA-seq data rnaseq. exploratory Alanna Weaver ★ ★ ★ ★ ★ (2)
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exploreModelMatrix: Interactively explore a design matrix explore. design Charlotte Soneson ★ ☆ ☆ ☆ ☆ (1)
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shinyOmics: Versatile tool to explore Omics data omics. proteomics Defne Surujon ★ ☆ ☆ ☆ ☆ (1)
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SQuAPP: Simple Quantitative Analysis of Proteins and PTMs quantify. proteomics Enes K Ergin ★ ☆ ☆ ☆ ☆ (1)
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DIME: A Gateway to Disease-Gene Networks disease. genes Aridaman Pandit ★ ★ ★ ★ ★ (3)
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PKIVsim: Master One-compartment Pharmacokinetics Simulations teach. pharmacokinetic Sungpil Han ★ ★ ★ ★ ★ (3)
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tacrolimusTDM: Tacrolimus Pharmacokinetic Profile Simulation explore. predict Sungpil Han ★ ☆ ☆ ☆ ☆ (1)
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IbuprofenUI: Explore the pharmacokinetics of Ibuprofen in preterm newborns ibuprofen. pharmacokinetic Nicolas Gregoire ★ ☆ ☆ ☆ ☆ (1)
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MAcont: Harness Meta-Analysis Data of Continuous Outcomes data. continuous Katerina Papadimitropoulou ★ ★ ★ ★ ★ (2)
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ModVizPop: Empowering Real-Time PK/PD Simulations pkpd. pharmacokinetic Pavan Vaddady ★ ☆ ☆ ☆ ☆ (1)
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peccary: Streamlinie Key Pharmacokinetic and Pharmacodynamics Analysis pharmacometrics. pharmacokinetic Thibaud Derippe ★ ☆ ☆ ☆ ☆ (1)
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FielDHub: Perform design of experiments in life sciences doe. experiments NDSU Big Data Pipeline ★ ★ ★ ★ ★ (2)
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diagPrimer: Interactive Primer on Diagnostic Test Accuracy primer. diagnostic Enzo Cerullo ★ ☆ ☆ ☆ ☆ (1)
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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.
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