OOIR: Observatory of International Research

Papers

(The TQCC of Interdisciplinary Sciences-Computational Life Sciences is 6. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-06-01 to 2026-06-01.)

Article	Citations
DP-ID: Interleaving and Denoising to Improve the Quality of DNA Storage Image	71
HRD-Informed Digital Histology Model for Predicting Platinum Chemo-Response and Prognosis in High-Grade Serous Ovarian Cancer	53
AttResAMD: An Attention-Driven Deep Learning Framework for Expert-Level Automated Classification of Age-Related Macular Degeneration from Fundus Photography	42
Parameter Estimation in Cellular Radiation Effects Using PSO-SQP and GA-SQP Hybrid Methods	42
Unraveling Brain Synchronisation Dynamics by Explainable Neural Networks using EEG Signals: Application to Dyslexia Diagnosis	35
m6ADP-GCNPUAS: m6A-Disease Prediction via Graph Convolutional Network and Positive-Unlabeled Learning with Self-Adaptive Sampling	35
Generative Adversarial Networks Based on Fine-Grained Image Recognition for the Progression Prediction of Progressive Mild Cognitive Impairment	33
An Integrated TCN-CrossMHA Model for Predicting circRNA-RBP Binding Sites	28
DCPPS: Prediction of Kinase-Specific Phosphorylation Sites Using Dynamic Embedding and Cross-Representation Interaction	27
Automated Brain Tumor Classification and Grading Using Multi-scale Graph Neural Network with Spatio-Temporal Transformer Attention Through MRI Scans	26
CA-UNet Segmentation Makes a Good Ischemic Stroke Risk Prediction	25
ResDeepSurv: A Survival Model for Deep Neural Networks Based on Residual Blocks and Self-attention Mechanism	24
Unveiling Putative Functions of Burkholderia pseudomallei K96243 Hypothetical Proteins Via High-Throughput Characterization of Structural Similarities	22
Differential Diagnosis of DCIS and Fibroadenoma Based on Ultrasound Images: a Difference-Based Self-Supervised Approach	21
PDDGCN: A Parasitic Disease–Drug Association Predictor Based on Multi-view Fusion Graph Convolutional Network	21
GSF-DTA: An Innovative Graph-Sequence Fusion Framework for Drug-Target Affinity Prediction	21
IRDRM: Exploring Biological Traits and Clinical Significance in Breast Cancer Through Gene Pairs and Somatic Mutation Profiles	19
Deep Clustering-Based Metabolic Stratification of Non-Small Cell Lung Cancer Patients Through Integration of Somatic Mutation Profile and Network Propagation Algorithm	18
AIP-TranLAC: A Transformer-Based Method Integrating LSTM and Attention Mechanism for Predicting Anti-inflammatory Peptides	17
Cervical Cancer Classification From Pap Smear Images Using Deep Convolutional Neural Network Models	17
BiGM-lncLoc: Bi-level Multi-Graph Meta-Learning for Predicting Cell-Specific Long Noncoding RNAs Subcellular Localization	17
Diagnosis of Pancreatic Cancer Using miRNA30e Biosensor	16
dbMisLoc: A Manually Curated Database of Conditional Protein Mis-localization Events	15
Developing a Novel Methodology by Integrating Deep Learning and HMM for Segmentation of Retinal Blood Vessels in Fundus Images	15
Interpretable Multimodal Molecular Language Model for Drug-Target Interaction Prediction	15

VHGAE: Drug-Target Interaction Prediction Model Based on Heterogeneous Graph Variational Autoencoder	14
Identifying Lymph Node Metastasis-Related Factors in Breast Cancer Using Differential Modular and Mutational Structural Analysis	14
Cell Fate Dynamics Reconstruction Identifies TPT1 and PTPRZ1 Feedback Loops as Master Regulators of Differentiation in Pediatric Glioblastoma-Immune Cell Networks	13
Adaptive Multi-Kernel Graph Neural Network for Drug-Drug Interaction Prediction	13
AMFCL: Predicting miRNA-Disease Associations Through Adaptive Multi-source Modality Fusion and Contrastive Learning	13
Machine Learning Accelerates De Novo Design of Antimicrobial Peptides	12
A Domain Adaptive Interpretable Substructure-Aware Graph Attention Network for Drug–Drug Interaction Prediction	12
ViruSeg: Harnessing the Power of Large Language-Image Model for Enhanced Virus Image Segmentation	12
ESM-PsyPred: Leveraging Protein Language Models for Accurate Prediction of Psychrophilic Proteins	11
EfficientNet-resDDSC: A Hybrid Deep Learning Model Integrating Residual Blocks and Dilated Convolutions for Inferring Gene Causality in Single-Cell Data	11
Exploring Deep Learning Models for Small Histopathology Datasets: Segmentation and Classification of Glomerular Crescent Lesions with Ablation, Interpretability, and Calibration Analyses	11
Development of an Expert-Level Right Ventricular Abnormality Detection Algorithm Based on Deep Learning	11
Drug Sensitivity Prediction Based on Multi-stage Multi-modal Drug Representation Learning	10
Transformative Deep Neural Network Approaches in Kidney Ultrasound Segmentation: Empirical Validation with an Annotated Dataset	10
A Multi-view Molecular Pre-training with Generative Contrastive Learning	10
OptimDase: An Algorithm for Predicting DNA Binding Sites with Combined Feature Encoding	10
Plant lncRNA-miRNA Interaction Prediction Based on Counterfactual Heterogeneous Graph Attention Network	10
CR-deal: Explainable Neural Network for circRNA-RBP Binding Site Recognition and Interpretation	10
MKLNID: Identifying Melanoma-related Pathogenic Genes Through Multiple Kernel Learning and Network Impulsive Dynamics	10
MFFBi-Unet: Merging Dynamic Sparse Attention and Multi-scale Feature Fusion for Medical Image Segmentation	10
Review of Progress in Diagnostic Studies of Autism Spectrum Disorder Using Neuroimaging	9
Exploring Novel Fentanyl Analogues Using a Graph-Based Transformer Model	9
Protein Multiple Conformation Prediction Using Multi-Objective Evolution Algorithm	9
DCDA: CircRNA–Disease Association Prediction with Feed-Forward Neural Network and Deep Autoencoder	8
Unveiling the Impact of Copper Metabolism on Epithelial-Mesenchymal Transition of Triple-Negative Breast Cancer: Identification of Therapeutic Targets	8
GraphTransDTA: Drug-Target Affinity Prediction with Graph Transformer for Multimodal Data Fusion	8
scEM: A New Ensemble Framework for Predicting Cell Type Composition Based on scRNA-Seq Data	8
Interpretable Cancer Survival Prediction by Fusing Semantic Labelling of Cell Types and Whole Slide Images	8
ProtFormer-Site: Ultra-fast and Accurate Prediction of Protein-Protein Interaction Sites with Protein Language Model	8
Construction and Application of Traditional Chinese Medicine Knowledge Graph Based on Large Language Model	8
Multi-Modal Fusion with Supervised Contrastive Learning Model for Early Alzheimer’s Disease Diagnosis and Multi-Modal Biomarker Identification	8
Predicting miRNA-Drug Interactions Based on Multi-source Feature Fusion of Heterogeneous Network	8
scVAEBGM: Clustering Analysis of Single-Cell ATAC-seq Data Using a Deep Generative Model	8
DOTAD: A Database of Therapeutic Antibody Developability	7
BEST: Basic Embedding Search Tool Enhancing Discovery of Novel Enzyme	7
CHL-DTI: A Novel High–Low Order Information Convergence Framework for Effective Drug–Target Interaction Prediction	7
Semantic Consistency Network with Edge Learner and Connectivity Enhancer for Cervical Tumor Segmentation from Histopathology Images	7
DiTSim: A Diffusion-Transformers Based Single-Cell ATAC-seq Data Simulator	7
A Framework Integrating Spiking Cortical Circuit Modeling and Simulation-Based Inference to Probe Biomarkers of Cortical Dysfunction in Alzheimer’s Disease	7
Classification of Glomerular Pathology Images in Children Using Convolutional Neural Networks with Improved SE-ResNet Module	7
Correction to: Machine Learning Accelerates De Novo Design of Antimicrobial Peptides	7
Identifying Protein Phosphorylation Site-Disease Associations Based on Multi-Similarity Fusion and Negative Sample Selection by Convolutional Neural Network	7
BMRI-NET: A Deep Stacked Ensemble Model for Multi-class Brain Tumor Classification from MRI Images	7
CRBP-HFEF: Prediction of RBP-Binding Sites on circRNAs Based on Hierarchical Feature Expansion and Fusion	6
Predicting Drug Synergy and Discovering New Drug Combinations Based on a Graph Autoencoder and Convolutional Neural Network	6
STFusion: A Spatial-Temporal Dual-Pathway Network with Multi-scale Attention Fusion for Early Diagnosis of Parkinson’s Disease	6
MTGGF: A Metabolism Type-Aware Graph Generative Model for Molecular Metabolite Prediction	6
A Novel Deep Learning Model for Medical Image Segmentation with Convolutional Neural Network and Transformer	6
PmliHFM: Predicting Plant miRNA-lncRNA Interactions with Hybrid Feature Mining Network	6
IMF-DDI: Information Mapping and Fusion Framework for Drug-drug Interaction Prediction	6

stGNN: Spatially Informed Cell-Type Deconvolution Based on Deep Graph Learning and Statistical Modeling	6
NPI-HGNN: A Heterogeneous Graph Neural Network-Based Approach for Predicting ncRNA-Protein Interactions	6
iAmyP: A Multi-view Learning for Amyloidogenic Hexapeptides Identification Based on Sequence Least Squares Programming	6
IHDFN-DTI: Interpretable Hybrid Deep Feature Fusion Network for Drug–Target Interaction Prediction	6
Multi-kernel Learning Fusion Algorithm Based on RNN and GRU for ASD Diagnosis and Pathogenic Brain Region Extraction	6
VFLING: Vertical Federated Learning for Multi-Omics Data Integration with Graphs	6