CB2 is an R package which provides functions for hit gene identification and quantification of sgRNA (single-guided RNA) abundances for CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) pooled screen data analysis. Details are in Jeong et al. (2019) <doi:10.1101/gr.245571.118> and Baggerly et al. (2003) <doi:10.1093/bioinformatics/btg173>.

CB2-Experiments is the repository of scripts and data of experiments were performed to benchmark the performance of CB2.

Continuous Norming with R

Copula Based Bivariate Beta-Binomial Model for Diagnostic Test Accuracy Studies

statistical modelling of the wine data-set available at https://www.kaggle.com/zynicide/wine-reviews

The idea is to propose several models based on Bayesian inference to estimate the likelihood of certain events in Venture Capital

Gibbs sampling for a Beta Binomial model, with example

Beta Kernel Processes Modeling

Example of Beta-Binomial model in Bayesian analysis in R

Symbolic computation for Beta-Binomial MLE using SymPy.

Adaptive learning classifier using a Beta–Binomial model to estimate student proficiency

R package for estimating probability for binomial data with a beta prior

Repository for the course 'Financial Risk' at Gothenburg University

Pipeline for the analysis of single-cell familial data from multiplex clonal assay

Production-ready API for classifying student mastery levels (Attempted, Familiar, Proficient) using Bayesian Beta-Binomial models with uncertainty quantification.

Sample size estimation for single cell studies

📊 Build and deploy a beta-binomial classifier API using FastAPI and Docker for scalable machine learning solutions with best engineering practices.