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Characterization of the continuous transcriptional heterogeneity in Wilms’ tumors using unsupervised machine learning2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Renal and related cancers Open access
Yaron Trink, Achia Urbach, Benjamin Dekel, Peter Hohenstein, Jacob Goldberger, Tomer Kalisky
1citations -
Characterization of the Continuous Transcriptional Heterogeneity in Wilms’ Tumors Using Unsupervised Machine Learning2022 SSRN Electronic Journal preprint Biochemistry, Genetics and Molecular Biology Renal and related cancers Open access
Yaron Trink, Achia Urbach, Benjamin Dekel, Peter Hohenstein, Jacob Goldberger, Tomer Kalisky
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 -
Benchmarking Variational AutoEncoders on cancer transcriptomics data2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Gene expression and cancer classification Open access
Mostafa Eltager, Tamim Abdelaal, Mohammed Charrout, Ahmed Essam Mahfouz, Marcel J. T. Reinders, Stavros Makrodimitris
4citations -
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 -
ZipGAN: Super-Resolution-based Generative Adversarial Network Framework for Data Compression of Direct Numerical Simulations2024 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Ludovico Nista, Christoph Schumann, Fabian Fröde, Mohamed Gowely, Temistocle Grenga, Jonathan F. MacArt, +2 more
0citations -
Vestibular schwannoma growth prediction from longitudinal MRI by time conditioned neural fields2024 arXiv (Cornell University) preprint Neuroscience Brain Tumor Detection and Classification Open access
Yunjie Chen, Jelmer M. Wolterink, Olaf M. Neve, Stephan R. Romeijn, Berit M. Verbist, Erik Frans Hensen, +2 more
0citations
16 results