Presentation date: April 18, 2024

Presenter: NDAGIJIMANA Frank Aimee Rodrigue

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# Category: Seminar

## PaCMAP-embedded convolutional neural network for multi-omics data integration

## SUPREME: multiomics data integration using graph convolutional networks

## Biologically informed variational autoencoders allow predictive modeling of genetic and drug-induced perturbations

## Multi-omics data integration by generative adversarial network

## 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

Presentation date: April 18, 2024

Presenter: NDAGIJIMANA Frank Aimee Rodrigue

Presentation date: April 04, 2024

Presenter: Jun Sik Kim