OOIR: Observatory of International Research

Papers

(The TQCC of Interdisciplinary Sciences-Computational Life Sciences is 5. 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 2021-11-01 to 2025-11-01.)

Article	Citations
AttResAMD: An Attention-Driven Deep Learning Framework for Expert-Level Automated Classification of Age-Related Macular Degeneration from Fundus Photography	66
Parameter Estimation in Cellular Radiation Effects Using PSO-SQP and GA-SQP Hybrid Methods	60
m6ADP-GCNPUAS: m6A-Disease Prediction via Graph Convolutional Network and Positive-Unlabeled Learning with Self-Adaptive Sampling	57
Unraveling Brain Synchronisation Dynamics by Explainable Neural Networks using EEG Signals: Application to Dyslexia Diagnosis	49
DP-ID: Interleaving and Denoising to Improve the Quality of DNA Storage Image	47
Deep Clustering-Based Metabolic Stratification of Non-Small Cell Lung Cancer Patients Through Integration of Somatic Mutation Profile and Network Propagation Algorithm	46
Differential Diagnosis of DCIS and Fibroadenoma Based on Ultrasound Images: a Difference-Based Self-Supervised Approach	41
Computational Study of Methionine Methylation Process Catalyzed by SETD3	36
An Integrated TCN-CrossMHA Model for Predicting circRNA-RBP Binding Sites	27
ResDeepSurv: A Survival Model for Deep Neural Networks Based on Residual Blocks and Self-attention Mechanism	25
CA-UNet Segmentation Makes a Good Ischemic Stroke Risk Prediction	24
DCPPS: Prediction of Kinase-Specific Phosphorylation Sites Using Dynamic Embedding and Cross-Representation Interaction	23
Cervical Cancer Classification From Pap Smear Images Using Deep Convolutional Neural Network Models	22
Automated Brain Tumor Classification and Grading Using Multi-scale Graph Neural Network with Spatio-Temporal Transformer Attention Through MRI Scans	22
PDDGCN: A Parasitic Disease–Drug Association Predictor Based on Multi-view Fusion Graph Convolutional Network	21
AMFCL: Predicting miRNA-Disease Associations Through Adaptive Multi-source Modality Fusion and Contrastive Learning	21
Developing a Novel Methodology by Integrating Deep Learning and HMM for Segmentation of Retinal Blood Vessels in Fundus Images	19
ViruSeg: Harnessing the Power of Large Language-Image Model for Enhanced Virus Image Segmentation	19
dbMisLoc: A Manually Curated Database of Conditional Protein Mis-localization Events	19
Cell Fate Dynamics Reconstruction Identifies TPT1 and PTPRZ1 Feedback Loops as Master Regulators of Differentiation in Pediatric Glioblastoma-Immune Cell Networks	18
Machine Learning Accelerates De Novo Design of Antimicrobial Peptides	18
Identifying Lymph Node Metastasis-Related Factors in Breast Cancer Using Differential Modular and Mutational Structural Analysis	18
Development of Electrochemical Biosensor for miR204-Based Cancer Diagnosis	17
Diagnosis of Pancreatic Cancer Using miRNA30e Biosensor	17
BiGM-lncLoc: Bi-level Multi-Graph Meta-Learning for Predicting Cell-Specific Long Noncoding RNAs Subcellular Localization	15

VHGAE: Drug-Target Interaction Prediction Model Based on Heterogeneous Graph Variational Autoencoder	14
AIP-TranLAC: A Transformer-Based Method Integrating LSTM and Attention Mechanism for Predicting Anti-inflammatory Peptides	13
Adaptive Multi-Kernel Graph Neural Network for Drug-Drug Interaction Prediction	12
A Domain Adaptive Interpretable Substructure-Aware Graph Attention Network for Drug–Drug Interaction Prediction	12
MKLNID: Identifying Melanoma-related Pathogenic Genes Through Multiple Kernel Learning and Network Impulsive Dynamics	11
Drug Sensitivity Prediction Based on Multi-stage Multi-modal Drug Representation Learning	11
Development of an Expert-Level Right Ventricular Abnormality Detection Algorithm Based on Deep Learning	11
MFFBi-Unet: Merging Dynamic Sparse Attention and Multi-scale Feature Fusion for Medical Image Segmentation	11
EfficientNet-resDDSC: A Hybrid Deep Learning Model Integrating Residual Blocks and Dilated Convolutions for Inferring Gene Causality in Single-Cell Data	11
CR-deal: Explainable Neural Network for circRNA-RBP Binding Site Recognition and Interpretation	10
OptimDase: An Algorithm for Predicting DNA Binding Sites with Combined Feature Encoding	10
Transformative Deep Neural Network Approaches in Kidney Ultrasound Segmentation: Empirical Validation with an Annotated Dataset	10
Single-Cell Transcriptome Analysis Reveals the Role of Pancreatic Secretome in COVID-19 Associated Multi-organ Dysfunctions	10
Construction and Application of Traditional Chinese Medicine Knowledge Graph Based on Large Language Model	10
A Multi-view Molecular Pre-training with Generative Contrastive Learning	10
Plant lncRNA-miRNA Interaction Prediction Based on Counterfactual Heterogeneous Graph Attention Network	10
scVAEBGM: Clustering Analysis of Single-Cell ATAC-seq Data Using a Deep Generative Model	9
Review of Progress in Diagnostic Studies of Autism Spectrum Disorder Using Neuroimaging	9
Exploring Novel Fentanyl Analogues Using a Graph-Based Transformer Model	9
DCDA: CircRNA–Disease Association Prediction with Feed-Forward Neural Network and Deep Autoencoder	9
Protein Multiple Conformation Prediction Using Multi-Objective Evolution Algorithm	9
scEM: A New Ensemble Framework for Predicting Cell Type Composition Based on scRNA-Seq Data	9
MVGCNMDA: Multi-view Graph Augmentation Convolutional Network for Uncovering Disease-Related Microbes	8
Semantic Consistency Network with Edge Learner and Connectivity Enhancer for Cervical Tumor Segmentation from Histopathology Images	8
Correction to: Machine Learning Accelerates De Novo Design of Antimicrobial Peptides	8
Interpretable Cancer Survival Prediction by Fusing Semantic Labelling of Cell Types and Whole Slide Images	8
iAmyP: A Multi-view Learning for Amyloidogenic Hexapeptides Identification Based on Sequence Least Squares Programming	7
Improving the Prediction of Potential Kinase Inhibitors with Feature Learning on Multisource Knowledge	7
Identifying Protein Phosphorylation Site-Disease Associations Based on Multi-Similarity Fusion and Negative Sample Selection by Convolutional Neural Network	7
IHDFN-DTI: Interpretable Hybrid Deep Feature Fusion Network for Drug–Target Interaction Prediction	7
Multi-kernel Learning Fusion Algorithm Based on RNN and GRU for ASD Diagnosis and Pathogenic Brain Region Extraction	7
BMRI-NET: A Deep Stacked Ensemble Model for Multi-class Brain Tumor Classification from MRI Images	7
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
DiTSim: A Diffusion-Transformers Based Single-Cell ATAC-seq Data Simulator	7
CRBP-HFEF: Prediction of RBP-Binding Sites on circRNAs Based on Hierarchical Feature Expansion and Fusion	7
easyMF: A Web Platform for Matrix Factorization-Based Gene Discovery from Large-scale Transcriptome Data	7
Classification of Glomerular Pathology Images in Children Using Convolutional Neural Networks with Improved SE-ResNet Module	7
Predicting miRNA-Drug Interactions Based on Multi-source Feature Fusion of Heterogeneous Network	7
IDDLncLoc: Subcellular Localization of LncRNAs Based on a Framework for Imbalanced Data Distributions	7
PmliHFM: Predicting Plant miRNA-lncRNA Interactions with Hybrid Feature Mining Network	6
A Novel Deep Learning Model for Medical Image Segmentation with Convolutional Neural Network and Transformer	6
In silico Methods for Identification of Potential Therapeutic Targets	6
stGNN: Spatially Informed Cell-Type Deconvolution Based on Deep Graph Learning and Statistical Modeling	6
Diffusion Model-Based Multi-Channel EEG Representation and Forecasting for Early Epileptic Seizure Warning	6
RicENN: Prediction of Rice Enhancers with Neural Network Based on DNA Sequences	6
Dual Attention Mechanisms and Feature Fusion Networks Based Method for Predicting LncRNA-Disease Associations	6
Predicting Drug Synergy and Discovering New Drug Combinations Based on a Graph Autoencoder and Convolutional Neural Network	5
Efficient Storage and Analysis of Genomic Data: A k-mer Frequency Mapping and Image Representation Method	5

EPI-Mind: Identifying Enhancer–Promoter Interactions Based on Transformer Mechanism	5
Classification of Brain Tumors in MRI Images with Brain-CNXSAMNet: Integrating Hybrid ConvNeXt and Spatial Attention Module Networks	5
NPI-HGNN: A Heterogeneous Graph Neural Network-Based Approach for Predicting ncRNA-Protein Interactions	5
SANNO: A Graph-Transformer Enhanced Optimal Transport Tool for Spatial Transcriptomic Annotation	5
A Semi-supervised Reinforcement Learning Framework Incorporating the Multi-scale IncepMambaNet Network for Glaucoma Progression Prediction	5
AMPFLDAP: Adaptive Message Passing and Feature Fusion on Heterogeneous Network for LncRNA-Disease Associations Prediction	5
MTGGF: A Metabolism Type-Aware Graph Generative Model for Molecular Metabolite Prediction	5
Combining Global-Constrained Concept Factorization and a Regularized Gaussian Graphical Model for Clustering Single-Cell RNA-seq Data	5
Efficient De Novo Assembly and Recovery of Microbial Genomes from Complex Metagenomes Using a Reduced Set of k-mers	5
CD47Binder: Identify CD47 Binding Peptides by Combining Next-Generation Phage Display Data and Multiple Peptide Descriptors	5
Predicting Protein–Ligand Binding Affinity Using Fusion Model of Spatial-Temporal Graph Neural Network and 3D Structure-Based Complex Graph	5
Reinforced Collaborative-Competitive Representation for Biomedical Image Recognition	5