MAPS: machine-assisted phenotype scoring enables rapid functional assessment of genetic variants by high-content microscopy

MAPS: machine-assisted phenotype scoring enables rapid functional assessment of genetic variants by high-content microscopy

Abstract Background Genetic testing is widely used in evaluating a patient’s predisposition to hereditary diseases. In the case of cancer, when a functionally impactful mutation (i.e. genetic variant) is identified in a disease-relevant gene, the patient is at elevated risk of developing a lesion in...

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Bibliographic Details
Main Authors: Jesse T. Chao, Calvin D. Roskelley, Christopher J. R. Loewen
Format: Article
Language:English
Published: BMC 2021-04-01
Series:BMC Bioinformatics
Subjects:
High-content screening
High-throughput microscopy
Deep learning
Machine learning
Single-cell phenotyping
Online Access:https://doi.org/10.1186/s12859-021-04117-4

Internet

https://doi.org/10.1186/s12859-021-04117-4

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