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Shushan Toneyan
Shushan Toneyan
Bestätigte E-Mail-Adresse bei cshl.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Evaluating deep learning for predicting epigenomic profiles
S Toneyan, Z Tang, PK Koo
BioRxiv, 2022
292022
ETV6 dependency in Ewing sarcoma by antagonism of EWS-FLI1-mediated enhancer activation
Y Gao, XY He, XS Wu, YH Huang, S Toneyan, T Ha, JJ Ipsaro, PK Koo, ...
Nature Cell Biology, 1-11, 2023
122023
EvoAug: improving generalization and interpretability of genomic deep neural networks with evolution-inspired data augmentations
NK Lee, Z Tang, S Toneyan, PK Koo
Genome Biology 24 (1), 105, 2023
82023
Deconvolution of expression for nascent RNA-sequencing data (DENR) highlights pre-RNA isoform diversity in human cells
Y Zhao, N Dukler, G Barshad, S Toneyan, CG Danko, A Siepel
Bioinformatics 37 (24), 4727-4736, 2021
72021
Graph-based classification of intestinal glands in colorectal cancer tissue images
L Studer, S Toneyan, I Zlobec, H Dawson, A Fischer
62019
Selecting deep neural networks that yield consistent attribution-based interpretations for genomics
A Majdandzic, C Rajesh, Z Tang, S Toneyan, EL Labelson, RK Tripathy, ...
Machine Learning in Computational Biology, 131-149, 2022
42022
Current approaches to genomic deep learning struggle to fully capture human genetic variation
Z Tang, S Toneyan, PK Koo
Nature Genetics, 1-2, 2023
22023
Epiregulon: Inference of single-cell transcription factor activity to dissect mechanisms of lineage plasticity and drug response
T Wlodarczyk, A Lun, D Wu, S Menon, S Toneyan, K Seidel, L Wang, ...
bioRxiv, 2023.11. 27.568955, 2023
2023
Interpreting Cis-Regulatory Interactions from Large-Scale Deep Neural Networks for Genomics
S Toneyan, PK Koo
bioRxiv, 2023.07. 03.547592, 2023
2023
Evolution-inspired augmentations improve deep learning for regulatory genomics
NK Lee, Z Tang, S Toneyan, PK Koo
bioRxiv, 2022
2022
Intestinal Gland Classification from Colorectal Cancer Tissue Images using Graph-based Methods
S Toneyan
Institute of Pathology, Faculty of Medicine, University of Bern, Switzerland, 2019
2019
Intestinal gland classification from colorectal cancer tissue images using graph-based methods
L Studer, S Toneyan, I Zlobec, A Lugli, A Fischer, H Dawson
Proceedings of the 4th Joint Annual Meeting of the Swiss and Austrian …, 2019
2019
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