NIPS-2022: Estimating graphical models for count data with applications to single-cell gene network [Paper]
NIPS-2022: Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution [Paper]
KDD-2022: Graph Neural Networks for Multimodal Single-Cell Data Integration [Paper]
ICML-2022: Variational Mixtures of ODEs for Inferring Cellular Gene Expression Dynamics [Paper]
ICML-2022 (Workshop): DIISCO: Dynamic Intercellular Interactions in Single Cell transcriptOmics [Paper]
ICML-2022 (Workshop): Purification of single-cell transcriptomics data with coreset selection [Paper]
ICML-2022 (Workshop): Continual single-cell architecture surgery for reference mapping [Paper]
ICLR-2022: Granger causal inference on dags identifies genomic loci regulating transcription [Paper]
AAAI-2022: ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations [Paper]
NIPS-2021: Multimodal single cell data integration challenge: Results and lessons learned [Paper]
NIPS-2021: A sandbox for prediction and integration of DNA, RNA, and proteins in single cells [Paper]
Bioinformatics: Biological applications of knowledge graph embedding models [Paper]
Nature Communications: scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses [Paper]