The architecture of DNABERT2-enhancer includes two models: (A) DNABERT-2 model (B) CNN model.

The architecture of DNABERT2-enhancer includes two models: (A) DNABERT-2 model (B) CNN model.

<p>The architecture of DNABERT2-enhancer includes two models: (A) DNABERT-2 model (B) CNN model.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Tong Wang (87696) (author)
مؤلفون آخرون:	Mengqi Gao (4965808) (author)
منشور في:	2025
الموضوعات:	Neuroscience Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified address current limitations feature vector generated weak enhancers ). strength </ p existing predictors utilizing eukaryotic gene transcription 2 language model useful predictive models enhancer recognition task useful instrument feature vectors xlink "> transformer architecture transfer learning training dnabert still deficiencies prediction results pivotal element original sequence identifying enhancers identical dataset highly significant extracting features enhancers classification either enhancer downstream position deep learning cnn network cnn model academic research
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مواد مشابهة

The ROC curves obtained by the DNABERT2-enhancer on Liu’s training dataset (layer 2).
حسب: Tong Wang (87696)
منشور في: (2025)

Performance comparison between DNABERT2-Enhancer and other methods on Liu’s testing dataset.
حسب: Tong Wang (87696)
منشور في: (2025)

The ROC curves obtained by the DNABERT2-enhancer on Liu’s training dataset (layer 1).
حسب: Tong Wang (87696)
منشور في: (2025)

Performance comparison of DNABERT2-Enhancer and Enhancer-IF on Basith’s testing datasets for eight cell types.
حسب: Tong Wang (87696)
منشور في: (2025)

The 5-fold cross-validation results obtained by the DNABERT2-enhancer on Liu’s training dataset (layer 2).
حسب: Tong Wang (87696)
منشور في: (2025)

The 5-fold cross-validation results obtained by the DNABERT2-Enhancer on Basith’s training dataset (layer 1).
حسب: Tong Wang (87696)
منشور في: (2025)

The 5-fold cross-validation results obtained by the DNABERT2-enhancer on Liu’s training dataset (layer 1).
حسب: Tong Wang (87696)
منشور في: (2025)

Performance comparison between DNABERT2-Enhancer and other methods by the 5-fold cross-validation results on liu’s training dataset.
حسب: Tong Wang (87696)
منشور في: (2025)

Statistical summary of training and testing subsets of Basith’s datasets for different cell types.
حسب: Tong Wang (87696)
منشور في: (2025)

Statistical summary of training and testing subsets of Liu’s datasets.
حسب: Tong Wang (87696)
منشور في: (2025)

The influence of each of the top 20 features on the recognition of different enhancers.
حسب: Tong Wang (87696)
منشور في: (2025)

The t-SNE visualization of the feature space distribution.
حسب: Tong Wang (87696)
منشور في: (2025)

Overview of the DNABERT Fine-Tuning Process and the DNABERT-Epi Model Architecture.
حسب: Kai Kimata (22608153)
منشور في: (2025)

Detailed architectural diagram of the CNN model for predicting T2DM in the PID and FHGD datasets.
حسب: Rahman Farnoosh (22339496)
منشور في: (2025)

Architectural comparison of CNN models for cervical cell classification. Architectural comparison of five CNN models used in this study, highlighting their parameter size, key design features, strengths, and limitations. The table outlines the trade-offs between computational complexity and classification capability, informing the selection of models suited for Pap smear image classification.
حسب: Khalis Khiruddin (22208428)
منشور في: (2025)

Structure of the CNN model.
حسب: Dongmei Liu (268523)
منشور في: (2025)

Structure of the CNN model.
حسب: Dongmei Liu (268523)
منشور في: (2025)

Validation Loss vs. Training Loss Curves for the CNN architectures and EfficientNet B3 model evaluated in this study.
حسب: Md Junayed Hossain (22615268)
منشور في: (2025)

Detailed Layer Configuration of the CNN Model for T2DM Prediction.
حسب: Rahman Farnoosh (22339496)
منشور في: (2025)

CNN Model Architecture.
حسب: Mudhafar Jalil Jassim Ghrabat (22177655)
منشور في: (2025)

Bar Graph Comparison: CNN Model Metrics for DPAGCHE vs. Original Dataset.
حسب: Khalis Khiruddin (22208428)
منشور في: (2025)

Confusion matrix for baseline CNN model before optimization.
حسب: Doaa Sami Khafaga (21463870)
منشور في: (2025)

Performance comparison of CNN architectures.
حسب: Ruiyuan Kang (14248041)
منشور في: (2025)

Performance comparison of CNN models with different input features.
حسب: Dongmei Liu (268523)
منشور في: (2025)

This figure illustrates the four distinct custom Convolutional Neural Network (CNN) architectures evaluated in this study.
حسب: Md Junayed Hossain (22615268)
منشور في: (2025)

DNABERT-H-2M
حسب: Anders Hjulmand (20361705)
منشور في: (2025)

Precision and recall rates of STA/LTA, AIC, and CNN models for recognition.
حسب: Dongmei Liu (268523)
منشور في: (2025)

Precision and recall rates of STA/LTA, AIC, and CNN models for recognition.
حسب: Dongmei Liu (268523)
منشور في: (2025)

Radar chart depicting the performance of the CNN model across six key evaluation metrics.
حسب: Doaa Sami Khafaga (21463870)
منشور في: (2025)

Andrews curves for visual comparison of multivariate metric profiles across CNN-based hybrid models.
حسب: Doaa Sami Khafaga (21463870)
منشور في: (2025)

SHAP analysis of epigenetic feature contributions in the DNABERT-Epi model.
حسب: Kai Kimata (22608153)
منشور في: (2025)

The 4-layer CNN architecture.
حسب: Md Tanzim Reza (19751325)
منشور في: (2024)

CPO-CNN model flowchart.
حسب: Minan Tang (20389941)
منشور في: (2024)

Flowchart of identifying weak waveforms induced by hydraulic fracturing of coal seam boreholes using the CNN model.
حسب: Dongmei Liu (268523)
منشور في: (2025)

Architecture and parameters of autoencoder models for colorization task.
حسب: Shima Ayyoubi Nezhad (21276429)
منشور في: (2025)

Stacked bar chart comparing aggregated performance metrics across CNN, ViT, GAN, SimCLR, and MoCo models.
حسب: Doaa Sami Khafaga (21463870)
منشور في: (2025)

Architecture and parameters of autoencoder models for jigsaw puzzle task.
حسب: Shima Ayyoubi Nezhad (21276429)
منشور في: (2025)

Architecture and parameters of autoencoder models for patch prediction task.
حسب: Shima Ayyoubi Nezhad (21276429)
منشور في: (2025)

CNN model classification prediction results.
حسب: Minan Tang (20389941)
منشور في: (2024)

Architecture of the EfficientNetB3-based regression model used for cattle weight prediction.
حسب: Md Junayed Hossain (22615268)
منشور في: (2025)

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