conftrace_

gene expression

58 papers

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Co-occurring keywords

spatial transcriptomics (36) single-cell rna sequencing (24) variational inference (2069) representation learning (6206) gene expression analysis (5) graph neural network (3962) single-cell transcriptomics (8) optimal transport (948) single-cell analysis (12) single-cell rna-seq (10)

Papers

Variational Mixtures of ODEs for Inferring Cellular Gene Expression Dynamics ICML 2022
Causal Imputation via Synthetic Interventions CLEAR 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
Supervised Quantile Normalization for Low Rank Matrix Factorization ICML 2020
Predicting Drug Sensitivity of Cancer Cell Lines via Collaborative Filtering with Contextual Attention MLHC 2020
Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network MIDL 2020
The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks JMLR 2019
Incorporating Grouping Information into Bayesian Decision Tree Ensembles ICML 2019
Concrete Autoencoders: Differentiable Feature Selection and Reconstruction ICML 2019
A Multitask Multiple Kernel Learning Algorithm for Survival Analysis with Application to Cancer Biology ICML 2019
Shared Subspace Models for Multi-Group Covariance Estimation JMLR 2019
End-to-end Training of Deep Probabilistic CCA on Paired Biomedical Observations UAI 2019
Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin NIPS 2017
Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data ICML 2016
Stable Graphical Models JMLR 2016
Context Aware Group Nearest Shrunken Centroids in Large-Scale Genomic Studies AISTATS 2014
Biclustering Using Message Passing NIPS 2014
Efficient Dimensionality Reduction for High-Dimensional Network Estimation ICML 2014
Predictive Correlation Screening: Application to Two-stage Predictor Design in High Dimension AISTATS 2013
Structured Learning of Gaussian Graphical Models NIPS 2012
Nonparametric Reduced Rank Regression NIPS 2012
Information Theoretic Model Validation for Spectral Clustering AISTATS 2012
Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings NIPS 2010
Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks NIPS 2010