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3dvesselsegnet

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

bivas

A scalable Bayesian method for bi-level variable selection

bwmr

BWMR (Bayesian Weighted Mendelian Randomization)

comm

Collaborative Mixed Model

dglsb

Deep Generative Learning via Schrödinger Bridge

firm

Fast Integration of single-cell RNA-sequencing data across Multiple platforms

flag

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

gpu-lmm

igrex

Quantifying the impact of genetically regulated expression on complex traits and diseases

log-tram

lpm

Efficient statistical approach to characterize relationship among complex traits using summary statistics from multiple GWASs and functional annotations

lpm-sim

Simulation codes to reproduce the results in the LPM paper

lsmm

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

lsmm-sim

Simulation codes and example to reproduce the results in the LSMM paper

math-4432-statistical-machine-learning

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

mfair

mfair: Matrix Factorization with Auxiliary Information in R

mr-apss

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

mrapss_realdataanalysis_reproduce

R code for reproduce real data analysis in MRAPSS paper.

mrbenchmarking

palm

portal

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

scpi

scPI: A scalable framework for probabilistic inference insingle-cell RNA-sequencing data analysis

sim-bivas

Simulations in Bivas

sim-igrex

Simulation codes in IGREX

spatialscope

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

spatialscope-beta

srt_alignment_and_integration

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

stitch3d

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

ucs

Code for Unified approach to cell segmentation for spatially resolved transcriptomics

vcm

R package VCM contains three approaches for solving variance components model: PX-EM algorithm, MM algorithm and Method of Moments