YangLabHKUST/MATH-4432-Statistical-Machine-Learning

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YangLabHKUST/MATH-4432-Statistical-Machine-Learning

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Tutorials for MATH 4432 Statistical Machine Learning, HKUST, Fall 2023

STitch3D

Construction of a 3D whole organism spatial atlas by joint modeling of multiple slices

SpatialScope

A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models

MR-APSS

Mendelian Randomization accounting for Pleiotropy and Sample Structure using genome-wide summary statistics

Portal

Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets

DGLSB

Deep Generative Learning via Schrödinger Bridge

XPASS

Cross-population analysis using GWAS summary statistics

LOG-TRAM

mfair

mfair: Matrix Factorization with Auxiliary Information in R

XMAP

3DVesselSegNet

hybrid representation learning approach for fully automatic and template-free vessel centerline extraction

Jupyter Notebook

PALM

FLAG

Flexible and Accurate Methods for Estimation and Inference of Gaussian Graphical Models with Applications

Jupyter Notebook

MRbenchmarking

XPA

Cross-population analysis using the individual-level GWAS data

MRAPSS_RealDataAnalysis_reproduce

R code for reproduce real data analysis in MRAPSS paper.

VGrow-Pg

A tensorflow implementation of VGrow by using progressive growing method.

SRT_alignment_and_integration

Measurement and comparison of several slices aligning methods and data integrating mathods for spatial transcriptomics data using several ST datasets.

UCS

Code for "UCS: a unified approach to cell segmentation for subcellular spatial transcriptomics"

Jupyter Notebook

LSMM

Efficient statistical approach to integrating functional annotations with genome-wide association studies