Imaging data related to the paper "Unsupervised representation learning of chromatin images identifies changes in cell state and tissue organization during DCIS progression"

DOI

Imaging data related to the paper: "Unsupervised representation learning of chromatin images identifies changes in cell state and tissue organization during DCIS progression." by Xinyi Zhang, Saradha Venkatachalapathy, Daniel Paysan, Paulina Schaerer, Claudio Tripodo, Caroline Uhler, GV Shivashankar.

Identifier
DOI https://doi.org/10.16907/f2030c03-231e-4cb9-9b69-446714b51d26
Metadata Access https://doi.psi.ch/oaipmh/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.16907/f2030c03-231e-4cb9-9b69-446714b51d26
Provenance
Creator GV Shivashankar
Publisher PSI
Publication Year 2023
Rights Available to the public.
OpenAccess true
Contact PSI
Representation
Resource Type Dataset
Discipline ['Life Sciences', 'Biology', 'Basic Biological and Medical Research']