Deep Learning Neural Networks Highly Predict Very Early Onset of Pluripotent Stem Cell Differentiation-Reference-Cited by-同舟云学术

Deep Learning Neural Networks Highly Predict Very Early Onset of Pluripotent Stem Cell Differentiation

Published:2019-04 Issue:4 Volume:12 Page:845-859
ISSN:2213-6711
Container-title:Stem Cell Reports
language:en
Short-container-title:Stem Cell Reports

Author:

Waisman Ariel,La Greca Alejandro,Möbbs Alan M.,Scarafía María Agustina,Santín Velazque Natalia L.,Neiman Gabriel,Moro Lucía N.,Luzzani Carlos,Sevlever Gustavo E.,Guberman Alejandra S.,Miriuka Santiago G.^ORCID

Funder

FONCYT

CONICET

Fundación FLENI

Fundación Pérez Companc

Publisher

Elsevier BV

Subject

Cell Biology,Developmental Biology,Genetics,Biochemistry

Reference30 articles.

1. Next-generation machine learning for biological networks;Camacho;Cell,2018

2. Deep learning and its applications in biomedicine;Cao;Genomics Proteomics Bioinformatics,2018

3. Opportunities and obstacles for deep learning in biology and medicine;Ching;J. R. Soc. Interfaces,2018

4. In silico labeling: predicting fluorescent labels in unlabeled images;Christiansen;Cell,2018

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