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 2021-12-01 to 2025-12-01.)
ArticleCitations
AttResAMD: An Attention-Driven Deep Learning Framework for Expert-Level Automated Classification of Age-Related Macular Degeneration from Fundus Photography69
Parameter Estimation in Cellular Radiation Effects Using PSO-SQP and GA-SQP Hybrid Methods60
m6ADP-GCNPUAS: m6A-Disease Prediction via Graph Convolutional Network and Positive-Unlabeled Learning with Self-Adaptive Sampling53
DP-ID: Interleaving and Denoising to Improve the Quality of DNA Storage Image48
Unraveling Brain Synchronisation Dynamics by Explainable Neural Networks using EEG Signals: Application to Dyslexia Diagnosis46
Differential Diagnosis of DCIS and Fibroadenoma Based on Ultrasound Images: a Difference-Based Self-Supervised Approach41
Computational Study of Methionine Methylation Process Catalyzed by SETD336
An Integrated TCN-CrossMHA Model for Predicting circRNA-RBP Binding Sites29
ResDeepSurv: A Survival Model for Deep Neural Networks Based on Residual Blocks and Self-attention Mechanism28
CA-UNet Segmentation Makes a Good Ischemic Stroke Risk Prediction25
Automated Brain Tumor Classification and Grading Using Multi-scale Graph Neural Network with Spatio-Temporal Transformer Attention Through MRI Scans24
PDDGCN: A Parasitic Disease–Drug Association Predictor Based on Multi-view Fusion Graph Convolutional Network24
GSF-DTA: An Innovative Graph-Sequence Fusion Framework for Drug-Target Affinity Prediction22
Cervical Cancer Classification From Pap Smear Images Using Deep Convolutional Neural Network Models21
DCPPS: Prediction of Kinase-Specific Phosphorylation Sites Using Dynamic Embedding and Cross-Representation Interaction20
AMFCL: Predicting miRNA-Disease Associations Through Adaptive Multi-source Modality Fusion and Contrastive Learning20
Deep Clustering-Based Metabolic Stratification of Non-Small Cell Lung Cancer Patients Through Integration of Somatic Mutation Profile and Network Propagation Algorithm20
Development of Electrochemical Biosensor for miR204-Based Cancer Diagnosis19
Adaptive Multi-Kernel Graph Neural Network for Drug-Drug Interaction Prediction19
dbMisLoc: A Manually Curated Database of Conditional Protein Mis-localization Events18
BiGM-lncLoc: Bi-level Multi-Graph Meta-Learning for Predicting Cell-Specific Long Noncoding RNAs Subcellular Localization17
Diagnosis of Pancreatic Cancer Using miRNA30e Biosensor17
VHGAE: Drug-Target Interaction Prediction Model Based on Heterogeneous Graph Variational Autoencoder17
AIP-TranLAC: A Transformer-Based Method Integrating LSTM and Attention Mechanism for Predicting Anti-inflammatory Peptides16
Cell Fate Dynamics Reconstruction Identifies TPT1 and PTPRZ1 Feedback Loops as Master Regulators of Differentiation in Pediatric Glioblastoma-Immune Cell Networks14
Machine Learning Accelerates De Novo Design of Antimicrobial Peptides13
Developing a Novel Methodology by Integrating Deep Learning and HMM for Segmentation of Retinal Blood Vessels in Fundus Images13
Identifying Lymph Node Metastasis-Related Factors in Breast Cancer Using Differential Modular and Mutational Structural Analysis13
A Domain Adaptive Interpretable Substructure-Aware Graph Attention Network for Drug–Drug Interaction Prediction12
ViruSeg: Harnessing the Power of Large Language-Image Model for Enhanced Virus Image Segmentation12
Single-Cell Transcriptome Analysis Reveals the Role of Pancreatic Secretome in COVID-19 Associated Multi-organ Dysfunctions11
A Multi-view Molecular Pre-training with Generative Contrastive Learning11
EfficientNet-resDDSC: A Hybrid Deep Learning Model Integrating Residual Blocks and Dilated Convolutions for Inferring Gene Causality in Single-Cell Data11
MKLNID: Identifying Melanoma-related Pathogenic Genes Through Multiple Kernel Learning and Network Impulsive Dynamics11
Development of an Expert-Level Right Ventricular Abnormality Detection Algorithm Based on Deep Learning11
Drug Sensitivity Prediction Based on Multi-stage Multi-modal Drug Representation Learning11
CR-deal: Explainable Neural Network for circRNA-RBP Binding Site Recognition and Interpretation10
Construction and Application of Traditional Chinese Medicine Knowledge Graph Based on Large Language Model10
MFFBi-Unet: Merging Dynamic Sparse Attention and Multi-scale Feature Fusion for Medical Image Segmentation10
scEM: A New Ensemble Framework for Predicting Cell Type Composition Based on scRNA-Seq Data10
OptimDase: An Algorithm for Predicting DNA Binding Sites with Combined Feature Encoding10
Review of Progress in Diagnostic Studies of Autism Spectrum Disorder Using Neuroimaging10
Plant lncRNA-miRNA Interaction Prediction Based on Counterfactual Heterogeneous Graph Attention Network10
Protein Multiple Conformation Prediction Using Multi-Objective Evolution Algorithm9
Exploring Novel Fentanyl Analogues Using a Graph-Based Transformer Model9
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
scVAEBGM: Clustering Analysis of Single-Cell ATAC-seq Data Using a Deep Generative Model9
easyMF: A Web Platform for Matrix Factorization-Based Gene Discovery from Large-scale Transcriptome Data8
Correction to: Machine Learning Accelerates De Novo Design of Antimicrobial Peptides8
MVGCNMDA: Multi-view Graph Augmentation Convolutional Network for Uncovering Disease-Related Microbes8
Interpretable Cancer Survival Prediction by Fusing Semantic Labelling of Cell Types and Whole Slide Images8
Predicting miRNA-Drug Interactions Based on Multi-source Feature Fusion of Heterogeneous Network8
Semantic Consistency Network with Edge Learner and Connectivity Enhancer for Cervical Tumor Segmentation from Histopathology Images7
BEST: Basic Embedding Search Tool Enhancing Discovery of Novel Enzyme7
BMRI-NET: A Deep Stacked Ensemble Model for Multi-class Brain Tumor Classification from MRI Images7
CHL-DTI: A Novel High–Low Order Information Convergence Framework for Effective Drug–Target Interaction Prediction7
Improving the Prediction of Potential Kinase Inhibitors with Feature Learning on Multisource Knowledge7
IHDFN-DTI: Interpretable Hybrid Deep Feature Fusion Network for Drug–Target Interaction Prediction7
Classification of Glomerular Pathology Images in Children Using Convolutional Neural Networks with Improved SE-ResNet Module7
IDDLncLoc: Subcellular Localization of LncRNAs Based on a Framework for Imbalanced Data Distributions7
DOTAD: A Database of Therapeutic Antibody Developability7
DiTSim: A Diffusion-Transformers Based Single-Cell ATAC-seq Data Simulator7
Identifying Protein Phosphorylation Site-Disease Associations Based on Multi-Similarity Fusion and Negative Sample Selection by Convolutional Neural Network7
CRBP-HFEF: Prediction of RBP-Binding Sites on circRNAs Based on Hierarchical Feature Expansion and Fusion7
stGNN: Spatially Informed Cell-Type Deconvolution Based on Deep Graph Learning and Statistical Modeling6
Dual Attention Mechanisms and Feature Fusion Networks Based Method for Predicting LncRNA-Disease Associations6
IMF-DDI: Information Mapping and Fusion Framework for Drug-drug Interaction Prediction6
RicENN: Prediction of Rice Enhancers with Neural Network Based on DNA Sequences6
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
A Novel Deep Learning Model for Medical Image Segmentation with Convolutional Neural Network and Transformer6
NPI-HGNN: A Heterogeneous Graph Neural Network-Based Approach for Predicting ncRNA-Protein Interactions6
Multi-kernel Learning Fusion Algorithm Based on RNN and GRU for ASD Diagnosis and Pathogenic Brain Region Extraction6
PmliHFM: Predicting Plant miRNA-lncRNA Interactions with Hybrid Feature Mining Network6
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