Deep learning: new computational modelling techniques for genomics

G Eraslan, Ž Avsec, J Gagneur, FJ Theis - Nature Reviews Genetics, 2019 - nature.com
As a data-driven science, genomics largely utilizes machine learning to capture
dependencies in data and derive novel biological hypotheses. However, the ability to extract …
被引用次数：984 相关文章
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[PDF][PDF] Deep learning: new computational modelling techniques for genomics

G Eraslan, Ž Avsec, J Gagneur, FJ Theis - Nature reviews| Genetics - cbml.science
As a data-driven science, genomics largely utilizes machine learning to capture
dependencies in data and derive novel biological hypotheses. However, the ability to extract …

Deep learning: new computational modelling techniques for genomics.

G Eraslan, Ž Avsec, J Gagneur, FJ Theis - Nature reviews. Genetics, 2019 - europepmc.org
As a data-driven science, genomics largely utilizes machine learning to capture
dependencies in data and derive novel biological hypotheses. However, the ability to extract …

Deep learning: new computational modelling techniques for genomics

G Eraslan, Ž Avsec, J Gagneur… - Nature reviews …, 2019 - pubmed.ncbi.nlm.nih.gov
As a data-driven science, genomics largely utilizes machine learning to capture
dependencies in data and derive novel biological hypotheses. However, the ability to extract …

Deep learning: new computational modelling techniques for genomics

G Eraslan, Z Avsec, J Gagneur, FJ Theis - Nature Reviews Genetics, 2019 - go.gale.com
As a data-driven science, genomics largely utilizes machine learning to capture
dependencies in data and derive novel biological hypotheses. However, the ability to extract …

[引用][C] Deep learning: new computational modelling techniques for genomics

G Eraslan, Ž Avsec, J Gagneur, FJ Theis - Nature Reviews Genetics, 2019 - cir.nii.ac.jp
Deep learning: new computational modelling techniques for genomics | CiNii Research CiNii
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