gene expression

Multi-modal Transfer Learning between Biological Foundation Models NeurIPS 2024 SCTrans: Multi-scale scRNA-seq Sub-vector Completion Transformer for Gene-selective Cell Type Annotation IJCAI 2024 STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics NeurIPS 2024 Transcriptomics-guided Slide Representation Learning in Computational Pathology CVPR 2024 Understanding Transcriptional Regulatory Redundancy by Learnable Global Subset Perturbations ACML 2024 Unsupervised Gene-Cell Collective Representation Learning with Optimal Transport AAAI 2024 Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps ICML 2023 Unsupervised Deep Embedded Fusion Representation of Single-Cell Transcriptomics AAAI 2023 xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data NeurIPS 2023 Causal Imputation via Synthetic Interventions CLeaR 2022 Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution NeurIPS 2022 SHINE: SubHypergraph Inductive Neural nEtwork NeurIPS 2022 Variational Mixtures of ODEs for Inferring Cellular Gene Expression Dynamics ICML 2022 Context-aware query design combines knowledge and data for efficient reading and reasoning NAACL 2021 Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks AAAI 2021 Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network MIDL 2020 Predicting Drug Sensitivity of Cancer Cell Lines via Collaborative Filtering with Contextual Attention MLHC 2020 Supervised Quantile Normalization for Low Rank Matrix Factorization ICML 2020 A Multitask Multiple Kernel Learning Algorithm for Survival Analysis with Application to Cancer Biology ICML 2019 Concrete Autoencoders: Differentiable Feature Selection and Reconstruction ICML 2019 End-to-end Training of Deep Probabilistic CCA on Paired Biomedical Observations UAI 2019 Incorporating Grouping Information into Bayesian Decision Tree Ensembles ICML 2019 Shared Subspace Models for Multi-Group Covariance Estimation JMLR 2019 The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks JMLR 2019 Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin NeurIPS 2017