UC Berkeley Biostats Software Community Homepage

Custom code of research paper "Variation-preserving normalization unveils blind spots in gene expression profiling"

Solutions for the Biostat III course at MEB KI

Shiny application to conduct heteroscedasticity consistent ANOVA (in Russian)

Simulation scripts for matching weights in three-group studies (Epidemiology 2017)

Wiki for Targeted Learning software

R package: Condition-Decomposition Normalization for Biological Applications

✒️ My master's thesis: "Generalized application of empirical Bayes statistics to asymptotically linear parameters"

Ask the right questions, manipulate data sets, and create visualizations to communicate results - Coursera

Quantitative Methods in Human Genetics

This repository implements the core function of paper "Sparse Multi-Response Tensor Regression for Alzheimer's Disease Study With Multivariate Clinical Assessments".

Simulations, code, report, and slides for SAFJR17

Jupyter server for Duke Biostatistics and Bioinformatics high-throughput sequencing and analysis workshop summer 2017

An R package for detection of cancer outlier differential gene expression

This project is aiming to analyze the Stroop effect data gathered from research related to the following resource. https://faculty.washington.edu/chudler/java/timesc.html. SAS/STAT package is being used to implement the analysis. The analytical results, relevant findings and graphs can be found in the .html file in this repository.

Numeric methods and bio-statistics implementations in Matlab

Introducción al uso de R para análisis estadístico en medicina.

SAS scripts for various biostatistics applications. A complete pipeline for analyzing microarray data using linear models is included.