An interactive Shiny App for UpSet plots, Venn diagrams and Pairwise heatmaps
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Updated
Apr 3, 2018 - R
An interactive Shiny App for UpSet plots, Venn diagrams and Pairwise heatmaps
Explore and visualize Medicare 2014 prescriber-level data: number and percentage of prescription claims for opioid drugs.
R Package With Shiny App to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model
Biplots, Volcano plots, PCA plots, Heatmaps and more Computational Genomics data created and visualized during University of Pittsburgh course, Computational Biology (BIOSC1540), with Dr. Miler Lee
Analysis and visualization on a broad set of metrics focused on health at the county level.
Analysis of the Influence of Terrorist Hotbeds on the Global Transformation of Terrorist Tactics via Clustering and Heatmaps
Gene Expression analysis with BIG-DE
Exploratory Analysis on Soccer datasets
project for Cambridge Bioinformatics Hackathon, 25-27 Sept 2017
Set of small R scripts helpful in various bioinformatics projects
Statistical analysis and visualizations was written in R programming, Load, clean up, reshape datasets using Tidyverse. visualize datasets with basic plots such as line, bar, scatter plots using ggplot2, Implemented and evaluated one-sample t-Tests, two-sample t-Tests, and analysis of variance (ANOVA) models for the dataset.
Extensively worked on data cleaning and data wrangling to analyze the number of deaths between years 2000-2023 with the help of pie charts, bar charts, word cloud and heat maps. Used time series analysis to check if the events of death follow stationarity and forecasted the trends.
A 'ggplot2' Extension for Consistent Axis Alignment
Plot .ld with LDHeatmap (first case applied to Equine 65k Microarray)
An easy way to normalize CT values to Internal controls as well as housekeeping genes and download as heatmap.
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