scMODAL
Single-cell multi-omics alignmentAlign single-cell datasets across modalities with deep generative learning and feature links, supporting integrated representations and downstream analyses.
Developed by Gefei Wang and collaborators.Software
Research methods with code you can explore and use. Our group collection is at github.com/Zhao-team ↗.
BHPI
Bayesian hypergraph inferenceEstimate overlapping disease groups and risk-factor associations, with posterior uncertainty.
Group fork of Naomi-Ding/BHPI.LatentSNA
Brain–behavior network analysisJointly model brain connectivity and behavioral measurements through a latent space framework.
Group fork of selenashuowang/latentSNA.SF Gradient Coupling
Multimodal brain organizationConstruct and analyze structural–functional gradient coupling, including behavioral and genetic associations.
COSR
Connectivity-on-shape regressionStudy spatially varying associations between brain shape and functional connectivity.
Group fork of Naomi-Ding/COSR.SBP
Supervised brain parcellationConstruct brain nodes and networks using voxel-level imaging and a behavioral outcome.
Original implementation by Wanwan Xu and collaborators.Nebula
Network-based multimodal clusteringNonparametric Bayesian clustering of multi-view and multimodal data, using network structure to learn groupings.
BNMM
Bayesian Network Mediation ModelPerform mediation analysis with a network-valued mediator.
BANFF
Bayesian Network Feature FinderAn R package for gene network feature selection.