junhaobearxiong

discrete_guidance

Code for our paper "Unlocking Guidance for Discrete State-Space Diffusion and Flow Models"

cameos-opt

Counterfactual-Prediction

State space model + data pipeline to generate counterfactual time series trajectories on multiple clinical signals, used to evaluate the utility of counterfactual features in sepsis prediction

deepul

ee227b

ee227c

graph_independence_test

Independence testing between a pair of graphs.

graspologic

Python package for graph statistics

gvp-pytorch

Geometric Vector Perceptrons --- a rotation-equivariant GNN for learning from biomolecular structure

mgcpy-old

MGCPY WILL NO LONGER BE UPDATED. THE NEW REPO CAN BE FOUND HERE:

junhaobearxiong/Counterfactual-Prediction

State space model + data pipeline to generate counterfactual time series trajectories on multiple clinical signals, used to evaluate the utility of counterfactual features in sepsis prediction

junhaobearxiong/cameos-opt

junhaobearxiong/deepul

junhaobearxiong/ee227b

junhaobearxiong/ee227c

junhaobearxiong/graph_independence_test

Independence testing between a pair of graphs.

junhaobearxiong/graspologic

Python package for graph statistics

junhaobearxiong/gvp-pytorch

Geometric Vector Perceptrons --- a rotation-equivariant GNN for learning from biomolecular structure

junhaobearxiong/ipsc_gplvm

A model that builds a mixture of Gaussian Process Latent Variable Model (GPLVM), with a kernel that splits the latent space into a shared space and a private space that is specific to each mixture.

junhaobearxiong/ipsc_pseudotime_model

Pseudotime Modeling with Mixture of pPCA

junhaobearxiong/velocity

RNA velocity on (time-course) single-cell expression data

junhaobearxiong/Machine_Learning

Implementation of various of basic ML algorithms [Class Project]

junhaobearxiong/PAGS---Probabilistic-Approach-to-Genome-Similarity

A probabilistic approach to measure genome similarity

junhaobearxiong/selective_inference

Selective Inference for Differential Expression (DE) along Pseudotime