Power analysis is essential to optimize the design of RNA-seq experiments and to assess and compare the power to detect differentially expressed genes. PowsimR is a flexible tool to simulate and evaluate differential expression from bulk and especially single-cell RNA-seq data making it suitable for a priori and posterior power analyses.

Code used to carry out parameter estimation, correlation estimation, type 1 error analysis, and power analysis for our "Pseudoreplication in Single-Cell" study

Hi-voltage, Hi-current isolated multirange AFE for MIO168 module

Using R tools like ggplot2 and dplyr, analyzed small business data to understand uptake patterns for federal aid. Employed logistic regression and decision trees to pinpoint key predictors. Explored strategies like mailer campaigns to boost application rates and conducted power analysis for potential randomized trials.

Materials for eRum 2020

📚 Data, Code, and Reports for the Embodied Metaphor project exploring how conceptual metaphors can affect target selection in a computer-based task.

Study power behaviors of Bayesian Network Meta-analysis (NMA) using simulations and real-world case studies

This is my research experiment proposal to answer whether a raise in yearly increment percentages would improve the tenures of software engineers at Google. The proposal covers the literature review, research plan and simulation of effects (using R).