Interdisciplinary Sciences-Computational Life Sciences

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 2022-08-01 to 2026-08-01.)
ArticleCitations
HRD-Informed Digital Histology Model for Predicting Platinum Chemo-Response and Prognosis in High-Grade Serous Ovarian Cancer76
Generative Adversarial Networks Based on Fine-Grained Image Recognition for the Progression Prediction of Progressive Mild Cognitive Impairment53
m6ADP-GCNPUAS: m6A-Disease Prediction via Graph Convolutional Network and Positive-Unlabeled Learning with Self-Adaptive Sampling48
AttResAMD: An Attention-Driven Deep Learning Framework for Expert-Level Automated Classification of Age-Related Macular Degeneration from Fundus Photography44
Unraveling Brain Synchronisation Dynamics by Explainable Neural Networks using EEG Signals: Application to Dyslexia Diagnosis37
Parameter Estimation in Cellular Radiation Effects Using PSO-SQP and GA-SQP Hybrid Methods36
DP-ID: Interleaving and Denoising to Improve the Quality of DNA Storage Image36
An Integrated TCN-CrossMHA Model for Predicting circRNA-RBP Binding Sites30
CA-UNet Segmentation Makes a Good Ischemic Stroke Risk Prediction27
ResDeepSurv: A Survival Model for Deep Neural Networks Based on Residual Blocks and Self-attention Mechanism26
Unveiling Putative Functions of Burkholderia pseudomallei K96243 Hypothetical Proteins Via High-Throughput Characterization of Structural Similarities25
IRDRM: Exploring Biological Traits and Clinical Significance in Breast Cancer Through Gene Pairs and Somatic Mutation Profiles24
GSF-DTA: An Innovative Graph-Sequence Fusion Framework for Drug-Target Affinity Prediction24
Differential Diagnosis of DCIS and Fibroadenoma Based on Ultrasound Images: a Difference-Based Self-Supervised Approach24
Cervical Cancer Classification From Pap Smear Images Using Deep Convolutional Neural Network Models23
PDDGCN: A Parasitic Disease–Drug Association Predictor Based on Multi-view Fusion Graph Convolutional Network21
Deep Clustering-Based Metabolic Stratification of Non-Small Cell Lung Cancer Patients Through Integration of Somatic Mutation Profile and Network Propagation Algorithm18
DCPPS: Prediction of Kinase-Specific Phosphorylation Sites Using Dynamic Embedding and Cross-Representation Interaction18
Automated Brain Tumor Classification and Grading Using Multi-scale Graph Neural Network with Spatio-Temporal Transformer Attention Through MRI Scans18
Interpretable Multimodal Molecular Language Model for Drug-Target Interaction Prediction17
AIP-TranLAC: A Transformer-Based Method Integrating LSTM and Attention Mechanism for Predicting Anti-inflammatory Peptides17
Cell Fate Dynamics Reconstruction Identifies TPT1 and PTPRZ1 Feedback Loops as Master Regulators of Differentiation in Pediatric Glioblastoma-Immune Cell Networks17
Developing a Novel Methodology by Integrating Deep Learning and HMM for Segmentation of Retinal Blood Vessels in Fundus Images16
dbMisLoc: A Manually Curated Database of Conditional Protein Mis-localization Events16
BiGM-lncLoc: Bi-level Multi-Graph Meta-Learning for Predicting Cell-Specific Long Noncoding RNAs Subcellular Localization16
Identifying Lymph Node Metastasis-Related Factors in Breast Cancer Using Differential Modular and Mutational Structural Analysis15
AMFCL: Predicting miRNA-Disease Associations Through Adaptive Multi-source Modality Fusion and Contrastive Learning14
Adaptive Multi-Kernel Graph Neural Network for Drug-Drug Interaction Prediction14
ViruSeg: Harnessing the Power of Large Language-Image Model for Enhanced Virus Image Segmentation14
Machine Learning Accelerates De Novo Design of Antimicrobial Peptides13
A Domain Adaptive Interpretable Substructure-Aware Graph Attention Network for Drug–Drug Interaction Prediction13
VHGAE: Drug-Target Interaction Prediction Model Based on Heterogeneous Graph Variational Autoencoder13
Exploring Deep Learning Models for Small Histopathology Datasets: Segmentation and Classification of Glomerular Crescent Lesions with Ablation, Interpretability, and Calibration Analyses12
Development of an Expert-Level Right Ventricular Abnormality Detection Algorithm Based on Deep Learning12
ESM-PsyPred: Leveraging Protein Language Models for Accurate Prediction of Psychrophilic Proteins12
EfficientNet-resDDSC: A Hybrid Deep Learning Model Integrating Residual Blocks and Dilated Convolutions for Inferring Gene Causality in Single-Cell Data11
A Multi-view Molecular Pre-training with Generative Contrastive Learning11
Drug Sensitivity Prediction Based on Multi-stage Multi-modal Drug Representation Learning11
scEM: A New Ensemble Framework for Predicting Cell Type Composition Based on scRNA-Seq Data10
MKLNID: Identifying Melanoma-related Pathogenic Genes Through Multiple Kernel Learning and Network Impulsive Dynamics10
OptimDase: An Algorithm for Predicting DNA Binding Sites with Combined Feature Encoding10
scVAEBGM: Clustering Analysis of Single-Cell ATAC-seq Data Using a Deep Generative Model10
CR-deal: Explainable Neural Network for circRNA-RBP Binding Site Recognition and Interpretation10
Protein Multiple Conformation Prediction Using Multi-Objective Evolution Algorithm10
Exploring Novel Fentanyl Analogues Using a Graph-Based Transformer Model10
MFFBi-Unet: Merging Dynamic Sparse Attention and Multi-scale Feature Fusion for Medical Image Segmentation10
Plant lncRNA-miRNA Interaction Prediction Based on Counterfactual Heterogeneous Graph Attention Network9
Semantic Consistency Network with Edge Learner and Connectivity Enhancer for Cervical Tumor Segmentation from Histopathology Images9
DCDA: CircRNA–Disease Association Prediction with Feed-Forward Neural Network and Deep Autoencoder9
Transformative Deep Neural Network Approaches in Kidney Ultrasound Segmentation: Empirical Validation with an Annotated Dataset9
Construction and Application of Traditional Chinese Medicine Knowledge Graph Based on Large Language Model9
Review of Progress in Diagnostic Studies of Autism Spectrum Disorder Using Neuroimaging9
Correction to: Machine Learning Accelerates De Novo Design of Antimicrobial Peptides9
Multi-Modal Fusion with Supervised Contrastive Learning Model for Early Alzheimer’s Disease Diagnosis and Multi-Modal Biomarker Identification8
Predicting miRNA-Drug Interactions Based on Multi-source Feature Fusion of Heterogeneous Network8
Unveiling the Impact of Copper Metabolism on Epithelial-Mesenchymal Transition of Triple-Negative Breast Cancer: Identification of Therapeutic Targets8
Interpretable Cancer Survival Prediction by Fusing Semantic Labelling of Cell Types and Whole Slide Images8
GraphTransDTA: Drug-Target Affinity Prediction with Graph Transformer for Multimodal Data Fusion8
ProtFormer-Site: Ultra-fast and Accurate Prediction of Protein-Protein Interaction Sites with Protein Language Model8
DOTAD: A Database of Therapeutic Antibody Developability8
IHDFN-DTI: Interpretable Hybrid Deep Feature Fusion Network for Drug–Target Interaction Prediction7
A Framework Integrating Spiking Cortical Circuit Modeling and Simulation-Based Inference to Probe Biomarkers of Cortical Dysfunction in Alzheimer’s Disease7
Identifying Potential Exosome-Derived mRNA Biomarkers for Diagnosis and Prediction of Breast Cancer Using Machine-Learning Approaches7
Classification of Glomerular Pathology Images in Children Using Convolutional Neural Networks with Improved SE-ResNet Module7
BEST: Basic Embedding Search Tool Enhancing Discovery of Novel Enzyme7
CHL-DTI: A Novel High–Low Order Information Convergence Framework for Effective Drug–Target Interaction Prediction7
DiTSim: A Diffusion-Transformers Based Single-Cell ATAC-seq Data Simulator7
BMRI-NET: A Deep Stacked Ensemble Model for Multi-class Brain Tumor Classification from MRI Images7
Identifying Protein Phosphorylation Site-Disease Associations Based on Multi-Similarity Fusion and Negative Sample Selection by Convolutional Neural Network7
IMF-DDI: Information Mapping and Fusion Framework for Drug-drug Interaction Prediction6
CRBP-HFEF: Prediction of RBP-Binding Sites on circRNAs Based on Hierarchical Feature Expansion and Fusion6
Identifying RNA ac4C Modification Sites via Pseudo-Nucleotide Fingerprint Encoding and Multi-Scale Feature Integration6
Combining Global-Constrained Concept Factorization and a Regularized Gaussian Graphical Model for Clustering Single-Cell RNA-seq Data6
MTGGF: A Metabolism Type-Aware Graph Generative Model for Molecular Metabolite Prediction6
iAmyP: A Multi-view Learning for Amyloidogenic Hexapeptides Identification Based on Sequence Least Squares Programming6
STFusion: A Spatial-Temporal Dual-Pathway Network with Multi-scale Attention Fusion for Early Diagnosis of Parkinson’s Disease6
stGNN: Spatially Informed Cell-Type Deconvolution Based on Deep Graph Learning and Statistical Modeling6
Predicting Drug Synergy and Discovering New Drug Combinations Based on a Graph Autoencoder and Convolutional Neural Network6
NPI-HGNN: A Heterogeneous Graph Neural Network-Based Approach for Predicting ncRNA-Protein Interactions6
A Novel Deep Learning Model for Medical Image Segmentation with Convolutional Neural Network and Transformer6
PmliHFM: Predicting Plant miRNA-lncRNA Interactions with Hybrid Feature Mining Network6
Multi-kernel Learning Fusion Algorithm Based on RNN and GRU for ASD Diagnosis and Pathogenic Brain Region Extraction6
VFLING: Vertical Federated Learning for Multi-Omics Data Integration with Graphs6
Diffusion Model-Based Multi-Channel EEG Representation and Forecasting for Early Epileptic Seizure Warning6
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