Presentation date: March 28, 2024
Presenter: Zhe Liu
Category: Seminar
scapGNN: A graph neural network–based framework for active pathway and gene module inference from single-cell multi-omics data
Bayesian linear mixed model with multiple random effects for prediction analysis on high-dimensional multi-omics data
DeepPINK: reproducible feature selection in deep neural networks
GraphGONet: a self-explaining neural network encapsulating the Gene Ontology graph for phenotype prediction on gene expression
PAUSE: principled feature attribution for unsupervised gene expression analysis
Negative binomial mixed models for analyzing longitudinal CD4 count data
Cancer survival prediction by learning comprehensive deep feature representation for multiple types of genetic data
DeepMicroGen: a generative adversarial network-based method for longitudinal microbiome data imputation
Biologically informed deep neural network for prostate cancer discovery
Presentation date: Jan 25, 2024
Presenter: Sangyeon Shin