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Explainable multi-view framework for dissecting intercellular signaling from highly multiplexed spatial data2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Jovan Tanevski, Ricardo O. Ramirez Flores, Attila Gábor, Denis Schapiro, Julio Sáez-Rodríguez
28citations -
GraphComm: A Graph-based Deep Learning Method to Predict Cell-Cell Communication in single-cell RNAseq data2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Emily So, Sikander Hayat, Sisira Kadambat Nair, Bo Wang, Benjamin Haibe‐Kains
13citations -
Explainable multi-view framework for dissecting intercellular signaling from highly multiplexed spatial data2021 Research Square preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Jovan Tanevski, Attila Gábor, Ricardo Ramirez Flores, Denis Schapiro, Julio Sáez-Rodríguez
10citations -
SwarmMAP: Swarm Learning for Decentralized Cell Type Annotation in Single Cell Sequencing Data2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Oliver Lester Saldanha, Vivien Goepp, Hyojin Kim, Jie Ping Zhu, Rafael Kramann, Sikander Hayat, +1 more
1citations -
scDecorr - Feature decorrelation representation learning with domain adaptation enables self-supervised alignment of multiple single-cell experiments0citations
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Cell type matching across species using protein embeddings and transfer learning2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Kirti Biharie, Lieke Michielsen, Marcel J. T. Reinders, Ahmed Essam Mahfouz
0citations -
A Physics-Informed Meta-Learning Framework for the Continuous Solution of Parametric PDEs on Arbitrary Geometries2025 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Reza Najian Asl, Yusuke Yamazaki, Kianoosh Taghikhani, Mayu Muramatsu, Markus Apel, Shahed Rezaei
1citations -
Graph Learning Should Move Beyond Restrictive Views of Spectral and Message-Passing GNNs2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access
Antonis Vasileiou, Juan Cerviño, Pascal Frossard, Charilaos I. Kanatsoulis, Christopher Morris, Michael T. Schaub, +4 more
0citations -
A machine learning method for the discovery of minimum marker gene combinations for cell type identification from single-cell RNA sequencing2021 Genome Research preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Brian D. Aevermann, Yun Zhang, Mark A. Novotny, Mohamed Keshk, Trygve E. Bakken, Jeremy A. Miller, +4 more
96citations -
NS-Forest: A machine learning method for the objective identification of minimum marker gene combinations for cell type determination from single cell RNA sequencing2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Brian D. Aevermann, Yun Zhang, Mark A. Novotny, Trygve E. Bakken, Jeremy A. Miller, Rebecca D. Hodge, +3 more
12citations -
Integrative learning of disentangled representations from single-cell RNA-sequencing datasets2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Claudio Novella-Rausell, Dorien J.M. Peters, Ahmed Essam Mahfouz
0citations -
Identification of Kidney Cell Types in scRNA-seq and snRNA-seq Data Using Machine Learning Algorithms2024 Research Square preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Adam Tisch, Siddharth Madapoosi, Jan Rosa, Sean F. Eddy, Laura H. Mariani, Abhijit S. Naik, +8 more
2citations