Computational Methods for Single-Cell Imaging and Omics Data Integration.

ABSTRACT: Integrating single cell omics and single cell imaging allows for a more effective characterisation of the underlying mechanisms that drive a phenotype at the tissue level, creating a comprehensive profile at the cellular level. Although the use of imaging data is well established in biomedical research, its primary application has been to observe phenotypes at the tissue or organ level, often using medical imaging techniques such as MRI, CT, and PET. These imaging technologies complement omics-based data in biomedical research because they are helpful for identifying associations between genotype and phenotype, along with functional changes occurring at the tissue level. Single cell imaging can act as an intermediary between these levels. Meanwhile new technologies continue to arrive that

SUBMITTER: Watson ER 

PROVIDER: S-EPMC8801747 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature