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

Chao, Jesse T; Roskelley, Calvin D; Loewen, Christopher J R

Chao, Jesse T; Roskelley, Calvin D; Loewen, Christopher J R.

Afiliação

Chao JT; Department of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, V6T1Z3, Canada. jesse.chao@ubc.ca.
Roskelley CD; Department of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, V6T1Z3, Canada.
Loewen CJR; Department of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, V6T1Z3, Canada.

BMC Bioinformatics ; 22(1): 202, 2021 Apr 20.

Article em En | MEDLINE | ID: mdl-33879063

Assuntos

Microscopia; Software; Humanos; Processamento de Imagem Assistida por Computador; Fenótipo; Fluxo de Trabalho

Palavras-chave

Deep learning; High-content screening; High-throughput microscopy; Machine learning; Single-cell phenotyping

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Microscopia Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: BMC Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Canadá

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google