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Workshop
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Continuous cell-state density inference and applications for single-cell data
Dominik Otto · Manu Setty · Brennan Dury
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Workshop
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Interpretable visualization of single cell data using Janus autoencoders
Gokul Gowri · Phillipa Richter · Xiaokang Lun · Peng Yin
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Workshop
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Learning Spatially-Aware Representations of Transcriptomic Data via Transfer Learning
Minsheng Hao · Lei Wei · Xuegong Zhang
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Workshop
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Energy-based Modelling for Single-cell Data Annotation
Tianyi Liu · Philip Fradkin · Lazar Atanackovic · Leo J Lee
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Workshop
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Benchmarking Graph Neural Network-based Imputation Methods on Single-Cell Transcriptomics Data
Han-Bo Li · Ramon Viñas Torné · Pietro Lió
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Workshop
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Topological Ensemble Detection with Differentiable Yoking
David Klindt · Sigurd Gaukstad · Erik Hermansen · Melvin Vaupel · Benjamin Dunn
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Workshop
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Graph Neural Networks for Multimodal Single-Cell Data Integration
Hongzhi Wen · Jiayuan Ding · Wei Jin · Yiqi Wang · Yuying Xie · Jiliang Tang
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Workshop
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SCOOTR: Single-Cell Multimodal Data Integration with Contrastive Learning and Optimal Transport
Federico Gossi · Pushpak Pati · Adriano Martinelli · Maria Anna Rapsomaniki
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Workshop
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Bi-channel Masked Graph Autoencoders for Spatially Resolved Single-cell Transcriptomics Data Imputation
Hongzhi Wen · Wei Jin · Jiayuan Ding · Christopher Xu · Yuying Xie · Jiliang Tang
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Workshop
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Improving Classification and Data Imputation for Single-Cell Transcriptomics with Graph Neural Networks
Han-Bo Li · Ramon Viñas Torné · Pietro Lió
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Poster
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Estimating graphical models for count data with applications to single-cell gene network
Feiyi Xiao · Junjie Tang · Huaying Fang · Ruibin Xi
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Workshop
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Using co-localization priors and microenvironment statistics to reconstruct tissue organization from single-cell data
Yitzchak Vaknin · Noa Moriel · Mor Nitzan
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