Josephine Yates

According to our database, Josephine Yates authored at least 5 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

UniversalEPI: a generalized attention-based deep ensemble model to accurately predict enhancer-promoter interactions across diverse cell types and conditions.

Aayush Grover, Lin Zhang, Till Muser, Simeon Haefliger, Minjia Wang, Josephine Yates, Eliezer M. Van Allen, Fabian J. Theis, Ignacio Ibarra, Ekaterina A. Krymova, Valentina Boeva

Dataset, January, 2025

Dissecting the role of transcriptional and epigenetic variability in cancer initiation and progression.

Josephine Yates

PhD thesis, 2025

2024

Histopathological Image Classification with Cell Morphology Aware Deep Neural Networks.

Andrey Ignatov, Josephine Yates, Valentina Boeva

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022

Deciphering the etiology and role in oncogenic transformation of the CpG island methylator phenotype: a pan-cancer analysis.

Josephine Yates, Valentina Boeva

Briefings Bioinform., 2022

2021

Finding commonalities in rare diseases through the undiagnosed diseases network.

Josephine Yates, Alba Gutiérrez-Sacristán, Vianney Jouhet, Kimberly Leblanc, Cecilia Esteves, Thomas N. Desain, Nick Benik, Jason Stedman, Nathan P. Palmer, Guillaume Mellon, Isaac S. Kohane, Paul Avillach

J. Am. Medical Informatics Assoc., 2021