Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

This tutorial is created for educational purpose

Code to support: "pcaReduce: hierarchical clustering of single cell transcriptional profiles"

R package PCAtest for evaluating the statistical significance of PCA analysis, selecting number of significant PC axes, and testing the contributions of the variables to those PCs.

grur: an R package tailored for RADseq data imputations

Big Data Implementations - Quantitative_Research

A shiny application to perform differential gene expression analysis of count data using DESeq2. The app also allows unsupervised exploration of data using PCA and hierarchical clustering.

Research compendium for "Using the right tool for the job: understanding the difference between unsupervised and supervised analyses of multivariate ecological data."

The main objective of this project is to build a model to identify whether the delivery of an order will be late or on time.

Hierarchical clustering and partitional clustering with exploratory factor analysis on chocolate quality.

Digits Manipulating of Shiny Project

Developed a predictive model that accurately classifies risk using a more automated approach.

Statistics project on the analysis of the household dataset.

indexDilemma() function co-authored and Included in CRAN

Bootcamp-R Study

Лабораторные работы по предмету "Анализ данных"

The best aesthetic plotting of princals function of Gifi package

The objective of the project is to predict the risk of auto Insurance fraud using Logistic Regression.

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