An R package for detecting cell-to-cell variably methylated regions (VMRs) from single-cell bisulfite sequencing leveraging probabilistic models.
Clustering Analysis of all available research data on the Iowa Gambling Task(list of sources in readme) using R. The Scripts produce the output for the most common archetypes among the dataset of one researcher using PCA.
Mechanistic Bayesian Machine Learning model of eczema dynamic
A bayesian analysis of the relationship between dietary pattern and breast cancer.
Your Probabilistic Modeling Copilot
Probabilistic logic version of CellNOpt (derived from FALCON)
Constructing a Bayesian network to capture the dependencies and independencies among variables as well as to predict wine quality
Predicting eczema severity with biomarkers using a Bayesian state-space model
A machine learning approach to categorize NBA players by role using shot characteristic data, highlighting the game's evolution over three decades.
Study and predict the probability of a liability customer buying personal loans
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