single-cell rna sequencing

Exploring the Interaction between Local and Global Latent Configurations for Clustering Single-Cell RNA-Seq: A Unified Perspective AAAI 2023 Generalized Cell Type Annotation and Discovery for Single-Cell RNA-Seq Data AAAI 2023 Realistic Cell Type Annotation and Discovery for Single-cell RNA-seq Data IJCAI 2023 Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data IJCAI 2023 Unsupervised Deep Embedded Fusion Representation of Single-Cell Transcriptomics AAAI 2023 Estimating graphical models for count data with applications to single-cell gene network NeurIPS 2022 ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations AAAI 2022 Effective Clustering of scRNA-seq Data to Identify Biomarkers without User Input AAAI 2021 Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks AAAI 2021 Gene Regulatory Network Inference using 3D Convolutional Neural Network AAAI 2021 Anchored Causal Inference in the Presence of Measurement Error UAI 2020 TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics ICML 2020 Geometry Based Data Generation NeurIPS 2018 Information Constraints on Auto-Encoding Variational Bayes NeurIPS 2018 Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data ICML 2016