thyao Goto Github PK

abc_mh-for-ddt

An Efficient Two-Stage Algorithm for DirichletDiffusion Trees

bsa-computing

Resources for BSA Computing Workshops

bsa-computing-workshop

BSA Computing Workshop

demuxlet

Genetic multiplexing of barcoded single cell RNA-seq

eecs545_github

EECS545 Machine Learning Homework

hello-world

git 101 and this is my first lesson in Github

localgit_101

Practice the tutorial from: http://readwrite.com/2013/10/02/github-for-beginners-part-2

rbgr

rBGR is an R package that implements a flexible Bayesian model to construct heterogeneous graphs under non-normal continuous data. For more details, please see Yao et al. (2023+) Robust Bayesian Graphical Regression Models for Assessing Tumor Heterogeneity in Proteomic Networks.

se101_test

spoon-knife

This repo is for demonstration purposes only.

thyao.github.io

Personal Website

ultrametricmat

The ultrametricMat is a package designed to conduct the Bayesian inference on the ultrametric matrices by the leveraging the bijection map between the ultrametric matrices and the tree space. We refer to more details to Yao et al. (2023+) Geometry-driven Bayesian Inference for Ultrametric Covariance Matrices.

umich-eecs545-lectures

This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Arbor.

xgboost

https://github.com/dmlc/xgboost