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Josephine Yates
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Platypus: an open-access software for integrating lymphocyte single-cell immune repertoires with transcriptomes
A Yermanos, A Agrafiotis, R Kuhn, D Robbiani, J Yates, C Papadopoulou, ...
NAR genomics and bioinformatics 3 (2), lqab023, 2021
302021
Deciphering the etiology and role in oncogenic transformation of the CpG island methylator phenotype: a pan-cancer analysis
J Yates, V Boeva
Briefings in bioinformatics 23 (2), bbab610, 2022
122022
scROSHI: robust supervised hierarchical identification of single cells
M Prummer, A Bertolini, L Bosshard, F Barkmann, J Yates, V Boeva, ...
NAR Genomics and Bioinformatics 5 (2), lqad058, 2023
72023
Finding commonalities in rare diseases through the undiagnosed diseases network
J Yates, A Gutiérrez-Sacristán, V Jouhet, K LeBlanc, C Esteves, ...
Journal of the American Medical Informatics Association 28 (8), 1694-1702, 2021
32021
DNA-methylation variability in normal mucosa: a field cancerization marker in patients with adenomatous polyps
J Yates, H Schaufelberger, R Steinacher, P Schär, K Truninger, V Boeva
JNCI: Journal of the National Cancer Institute, djae016, 2024
12024
CanSig: discovery of shared transcriptional states across cancer patients from single-cell RNA sequencing data
J Yates, F Barkmann, P Czyz, A Kraft, M Glettig, F Lohmann, E Saquand, ...
bioRxiv, 2022.04. 14.488324, 2022
12022
Unraveling potential genetic drivers of intratumor transcriptional heterogeneity and phenotypic plasticity in malignant cells
A Kraft, J Yates, F Barkmann, V Boeva
CANCER RESEARCH 84 (3), 2024
2024
Abstract IA024: Unraveling potential genetic drivers of intratumor transcriptional heterogeneity and phenotypic plasticity in malignant cells
A Kraft, J Yates, F Barkmann, V Boeva
Cancer Research 84 (3_Supplement_2), IA024-IA024, 2024
2024
Histopathological Image Classification with Cell Morphology Aware Deep Neural Networks
A Ignatov, J Yates, V Boeva
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
2024
ANS: Adjusted Neighborhood Scoring to improve assessment of gene signatures in single-cell RNA-seq data
L Ciernik, A Kraft, F Barkmann, J Yates, V Boeva
bioRxiv, 2023.09. 20.558114, 2023
2023
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