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[HTML][HTML] Interpreting cis-regulatory interactions from large-scale deep neural networks for genomics

S Toneyan, PK Koo - bioRxiv - ncbi.nlm.nih.gov
The rise of large-scale, sequence-based deep neural networks (DNNs) for predicting gene
expression has introduced challenges in their evaluation and interpretation. Current …
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Interpreting Cis -Regulatory Interactions from Large-Scale Deep Neural Networks for Genomics.

S Toneyan, PK Koo - Biorxiv: the Preprint Server for Biology, 2023 - europepmc.org
The rise of large-scale, sequence-based deep neural networks (DNNs) for predicting gene
expression has introduced challenges in their evaluation and interpretation. Current …

Interpreting Cis-Regulatory Interactions from Large-Scale Deep Neural Networks for Genomics

S Toneyan, PK Koo - bioRxiv, 2023 - biorxiv.org
The rise of large-scale, sequence-based deep neural networks (DNNs) for predicting gene
expression has introduced challenges in their evaluation and interpretation. Current …

Interpreting Cis-Regulatory Interactions from Large-Scale Deep Neural Networks for Genomics

S Toneyan, PK Koo - bioRxiv: the preprint server for …, 2024 - pubmed.ncbi.nlm.nih.gov
The rise of large-scale, sequence-based deep neural networks (DNNs) for predicting gene
expression has introduced challenges in their evaluation and interpretation. Current …

Interpreting Cis-Regulatory Interactions from Large-Scale Deep Neural Networks for Genomics

S Toneyan, PK Koo - bioRxiv, 2023 - repository.cshl.edu
The rise of large-scale, sequence-based deep neural networks (DNNs) for predicting gene
expression has introduced challenges in their evaluation and interpretation. Current …

Interpreting Cis-Regulatory Interactions from Large-Scale Deep Neural Networks for Genomics

S Toneyan, PK Koo - 2023 - europepmc.org
The rise of large-scale, sequence-based deep neural networks (DNNs) for predicting gene
expression has introduced challenges in their evaluation and interpretation. Current …