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MIBPred: Ensemble Learning-Based Metal Ion-Binding Protein Classifier
HQ Zhang, SH Liu, R Li, JW Yu, DX Ye, SS Yuan… - ACS …, 2024 - ACS Publications
In biological organisms, metal ion-binding proteins participate in numerous metabolic
activities and are closely associated with various diseases. To accurately predict whether a …
activities and are closely associated with various diseases. To accurately predict whether a …
CNN-BLSTM based deep learning framework for eukaryotic kinome classification: An explainability based approach
Classification of protein families from their sequences is an enduring task in Proteomics and
related studies. Numerous deep-learning models have been moulded to tackle this …
related studies. Numerous deep-learning models have been moulded to tackle this …
Inv-AlxVGGNets: Cervical Spine disease Classification using concatenated involutional neural networks with Residual net
Cervical spine diseases, encompassing conditions like spondylolisthesis, disc
degeneration, and cervical spinal stenosis, stand as significant contributors to global …
degeneration, and cervical spinal stenosis, stand as significant contributors to global …
TransProtFam: A Transformer Derived Deep Learning Model for Hierarchical Protein Family Annotation
Transformers are knowledge reservoirs trained on vast and heterogeneous data sets with
the potential for cross-functional tasks. These large corpus-trained models can be leveraged …
the potential for cross-functional tasks. These large corpus-trained models can be leveraged …
[PDF][PDF] Inv-AlxVGGNets: Cervical Spine Disease Classification Using Concatenated Involutional Neural Networks With Residual Net
Y BINIYAMMULUGETAABUHAYI, AM AYALEW - 2024 - researchgate.net
Cervical spine diseases, encompassing conditions like spondylolisthesis, disc
degeneration, and cervical spinal stenosis, stand as significant contributors to global …
degeneration, and cervical spinal stenosis, stand as significant contributors to global …
[PDF][PDF] Proactive Analysis and Detection of Cyber-attacks using Deep Learning Techniques
Objectives: This study objective is to create a proactive forensic framework with a
classification model to identify the malicious content to avoid cyberattacks. Methods: In this …
classification model to identify the malicious content to avoid cyberattacks. Methods: In this …