Applying Deep Neural Network Analysis to High-Content Image-Based Assays.

ABSTRACT: The etiological underpinnings of many CNS disorders are not well understood. This is likely due to the fact that individual diseases aggregate numerous pathological subtypes, each associated with a complex landscape of genetic risk factors. To overcome these challenges, researchers are integrating novel data types from numerous patients, including imaging studies capturing broadly applicable features from patient-derived materials. These datasets, when combined with machine learning, potentially hold the power to elucidate the subtle patterns that stratify patients by shared pathology. In this study, we interrogated whether high-content imaging of primary skin fibroblasts, using the Cell Painting method, could reveal disease-relevant information among patients. First, we showed that techni

SUBMITTER: Yang SJ 

PROVIDER: S-EPMC6710615 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature