Interdisciplinary Sciences-Computational Life Sciences

Papers
(The median citation count of Interdisciplinary Sciences-Computational Life Sciences is 2. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Parameter Estimation in Cellular Radiation Effects Using PSO-SQP and GA-SQP Hybrid Methods69
m6ADP-GCNPUAS: m6A-Disease Prediction via Graph Convolutional Network and Positive-Unlabeled Learning with Self-Adaptive Sampling66
DP-ID: Interleaving and Denoising to Improve the Quality of DNA Storage Image56
Unraveling Brain Synchronisation Dynamics by Explainable Neural Networks using EEG Signals: Application to Dyslexia Diagnosis48
AttResAMD: An Attention-Driven Deep Learning Framework for Expert-Level Automated Classification of Age-Related Macular Degeneration from Fundus Photography47
Computational Study of Methionine Methylation Process Catalyzed by SETD342
An Integrated TCN-CrossMHA Model for Predicting circRNA-RBP Binding Sites37
Deep Clustering-Based Metabolic Stratification of Non-Small Cell Lung Cancer Patients Through Integration of Somatic Mutation Profile and Network Propagation Algorithm35
DCPPS: Prediction of Kinase-Specific Phosphorylation Sites Using Dynamic Embedding and Cross-Representation Interaction30
CA-UNet Segmentation Makes a Good Ischemic Stroke Risk Prediction27
Cervical Cancer Classification From Pap Smear Images Using Deep Convolutional Neural Network Models25
PDDGCN: A Parasitic Disease–Drug Association Predictor Based on Multi-view Fusion Graph Convolutional Network24
Automated Brain Tumor Classification and Grading Using Multi-scale Graph Neural Network with Spatio-Temporal Transformer Attention Through MRI Scans22
ResDeepSurv: A Survival Model for Deep Neural Networks Based on Residual Blocks and Self-attention Mechanism21
Differential Diagnosis of DCIS and Fibroadenoma Based on Ultrasound Images: a Difference-Based Self-Supervised Approach21
GSF-DTA: An Innovative Graph-Sequence Fusion Framework for Drug-Target Affinity Prediction21
Unveiling Putative Functions of Burkholderia pseudomallei K96243 Hypothetical Proteins Via High-Throughput Characterization of Structural Similarities20
AMFCL: Predicting miRNA-Disease Associations Through Adaptive Multi-source Modality Fusion and Contrastive Learning20
Adaptive Multi-Kernel Graph Neural Network for Drug-Drug Interaction Prediction19
Development of Electrochemical Biosensor for miR204-Based Cancer Diagnosis18
BiGM-lncLoc: Bi-level Multi-Graph Meta-Learning for Predicting Cell-Specific Long Noncoding RNAs Subcellular Localization17
ViruSeg: Harnessing the Power of Large Language-Image Model for Enhanced Virus Image Segmentation17
Diagnosis of Pancreatic Cancer Using miRNA30e Biosensor17
VHGAE: Drug-Target Interaction Prediction Model Based on Heterogeneous Graph Variational Autoencoder17
Identifying Lymph Node Metastasis-Related Factors in Breast Cancer Using Differential Modular and Mutational Structural Analysis14
Cell Fate Dynamics Reconstruction Identifies TPT1 and PTPRZ1 Feedback Loops as Master Regulators of Differentiation in Pediatric Glioblastoma-Immune Cell Networks14
Developing a Novel Methodology by Integrating Deep Learning and HMM for Segmentation of Retinal Blood Vessels in Fundus Images14
Machine Learning Accelerates De Novo Design of Antimicrobial Peptides14
dbMisLoc: A Manually Curated Database of Conditional Protein Mis-localization Events13
A Domain Adaptive Interpretable Substructure-Aware Graph Attention Network for Drug–Drug Interaction Prediction13
AIP-TranLAC: A Transformer-Based Method Integrating LSTM and Attention Mechanism for Predicting Anti-inflammatory Peptides13
EfficientNet-resDDSC: A Hybrid Deep Learning Model Integrating Residual Blocks and Dilated Convolutions for Inferring Gene Causality in Single-Cell Data12
MKLNID: Identifying Melanoma-related Pathogenic Genes Through Multiple Kernel Learning and Network Impulsive Dynamics11
MFFBi-Unet: Merging Dynamic Sparse Attention and Multi-scale Feature Fusion for Medical Image Segmentation11
Development of an Expert-Level Right Ventricular Abnormality Detection Algorithm Based on Deep Learning11
OptimDase: An Algorithm for Predicting DNA Binding Sites with Combined Feature Encoding11
CR-deal: Explainable Neural Network for circRNA-RBP Binding Site Recognition and Interpretation11
Single-Cell Transcriptome Analysis Reveals the Role of Pancreatic Secretome in COVID-19 Associated Multi-organ Dysfunctions11
Drug Sensitivity Prediction Based on Multi-stage Multi-modal Drug Representation Learning11
A Multi-view Molecular Pre-training with Generative Contrastive Learning11
Transformative Deep Neural Network Approaches in Kidney Ultrasound Segmentation: Empirical Validation with an Annotated Dataset10
scEM: A New Ensemble Framework for Predicting Cell Type Composition Based on scRNA-Seq Data10
scVAEBGM: Clustering Analysis of Single-Cell ATAC-seq Data Using a Deep Generative Model10
Protein Multiple Conformation Prediction Using Multi-Objective Evolution Algorithm9
Correction to: Machine Learning Accelerates De Novo Design of Antimicrobial Peptides9
DCDA: CircRNA–Disease Association Prediction with Feed-Forward Neural Network and Deep Autoencoder9
Exploring Novel Fentanyl Analogues Using a Graph-Based Transformer Model9
Review of Progress in Diagnostic Studies of Autism Spectrum Disorder Using Neuroimaging9
Plant lncRNA-miRNA Interaction Prediction Based on Counterfactual Heterogeneous Graph Attention Network9
Construction and Application of Traditional Chinese Medicine Knowledge Graph Based on Large Language Model9
Semantic Consistency Network with Edge Learner and Connectivity Enhancer for Cervical Tumor Segmentation from Histopathology Images8
Interpretable Cancer Survival Prediction by Fusing Semantic Labelling of Cell Types and Whole Slide Images8
Improving the Prediction of Potential Kinase Inhibitors with Feature Learning on Multisource Knowledge8
easyMF: A Web Platform for Matrix Factorization-Based Gene Discovery from Large-scale Transcriptome Data8
Predicting miRNA-Drug Interactions Based on Multi-source Feature Fusion of Heterogeneous Network7
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
IDDLncLoc: Subcellular Localization of LncRNAs Based on a Framework for Imbalanced Data Distributions7
iAmyP: A Multi-view Learning for Amyloidogenic Hexapeptides Identification Based on Sequence Least Squares Programming7
MVGCNMDA: Multi-view Graph Augmentation Convolutional Network for Uncovering Disease-Related Microbes7
BEST: Basic Embedding Search Tool Enhancing Discovery of Novel Enzyme7
DOTAD: A Database of Therapeutic Antibody Developability7
IMF-DDI: Information Mapping and Fusion Framework for Drug-drug Interaction Prediction7
PmliHFM: Predicting Plant miRNA-lncRNA Interactions with Hybrid Feature Mining Network7
IHDFN-DTI: Interpretable Hybrid Deep Feature Fusion Network for Drug–Target Interaction Prediction7
CHL-DTI: A Novel High–Low Order Information Convergence Framework for Effective Drug–Target Interaction Prediction7
Classification of Glomerular Pathology Images in Children Using Convolutional Neural Networks with Improved SE-ResNet Module7
CRBP-HFEF: Prediction of RBP-Binding Sites on circRNAs Based on Hierarchical Feature Expansion and Fusion7
BMRI-NET: A Deep Stacked Ensemble Model for Multi-class Brain Tumor Classification from MRI Images7
RicENN: Prediction of Rice Enhancers with Neural Network Based on DNA Sequences6
Dual Attention Mechanisms and Feature Fusion Networks Based Method for Predicting LncRNA-Disease Associations6
Combining Global-Constrained Concept Factorization and a Regularized Gaussian Graphical Model for Clustering Single-Cell RNA-seq Data6
SANNO: A Graph-Transformer Enhanced Optimal Transport Tool for Spatial Transcriptomic Annotation6
Multi-kernel Learning Fusion Algorithm Based on RNN and GRU for ASD Diagnosis and Pathogenic Brain Region Extraction6
MTGGF: A Metabolism Type-Aware Graph Generative Model for Molecular Metabolite Prediction6
Diffusion Model-Based Multi-Channel EEG Representation and Forecasting for Early Epileptic Seizure Warning6
Efficient Storage and Analysis of Genomic Data: A k-mer Frequency Mapping and Image Representation Method6
stGNN: Spatially Informed Cell-Type Deconvolution Based on Deep Graph Learning and Statistical Modeling6
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
Predicting Drug Synergy and Discovering New Drug Combinations Based on a Graph Autoencoder and Convolutional Neural Network6
Complex Prediction in Large PPI Networks Using Expansion and Stripe of Core Cliques5
A Self-attention Graph Convolutional Network for Precision Multi-tumor Early Diagnostics with DNA Methylation Data5
Efficient De Novo Assembly and Recovery of Microbial Genomes from Complex Metagenomes Using a Reduced Set of k-mers5
AMPFLDAP: Adaptive Message Passing and Feature Fusion on Heterogeneous Network for LncRNA-Disease Associations Prediction5
Predicting Protein–Ligand Binding Affinity Using Fusion Model of Spatial-Temporal Graph Neural Network and 3D Structure-Based Complex Graph5
scRDiT: Generating Single-cell RNA-seq Data by Diffusion Transformers and Accelerating Sampling5
Classification of Brain Tumors in MRI Images with Brain-CNXSAMNet: Integrating Hybrid ConvNeXt and Spatial Attention Module Networks5
EPI-Mind: Identifying Enhancer–Promoter Interactions Based on Transformer Mechanism5
CD47Binder: Identify CD47 Binding Peptides by Combining Next-Generation Phage Display Data and Multiple Peptide Descriptors5
Visualizing a Field of Research for the Coronavirus Replication in Humans with Knowledge Mapping: Evidence from Web of Science5
Design and Simulation of an Autonomous Molecular Mechanism Using Spatially Localized DNA Computation5
A Semi-supervised Reinforcement Learning Framework Incorporating the Multi-scale IncepMambaNet Network for Glaucoma Progression Prediction5
Reinforced Collaborative-Competitive Representation for Biomedical Image Recognition5
Top 10 Research Advances in Artificial Intelligence and Biomedical Science (2025)5
EASNet: Edge-aware Segmentation Network for Skin Lesion Segmentation with Boundary-aware and Frequency Attention Mechanisms4
A Multi-perspective Model for Protein–Ligand-Binding Affinity Prediction4
Viral Rebound After Antiviral Treatment: A Mathematical Modeling Study of the Role of Antiviral Mechanism of Action4
DASNet: A Convolutional Neural Network with SE Attention Mechanism for ccRCC Tumor Grading4
Machine Learning Applications in Drug Repurposing4
Bilinear Perceptual Fusion Algorithm Based on Brain Functional and Structural Data for ASD Diagnosis and Regions of Interest Identification4
DynamicDTA: Drug-Target Binding Affinity Prediction Using Dynamic Descriptors and Graph Representation4
RNA Folding Based on 5 Beads Model and Multiscale Simulation4
DNA Methylation Recognition Using Hybrid Deep Learning with Dual Nucleotide Visualization Fusion Feature Encoding4
Multi-feature Fusion Method Based on Linear Neighborhood Propagation Predict Plant LncRNA–Protein Interactions4
PredPromoter-MF(2L): A Novel Approach of Promoter Prediction Based on Multi-source Feature Fusion and Deep Forest4
DeepPI: Alignment-Free Analysis of Flexible Length Proteins Based on Deep Learning and Image Generator4
BoT-Net: a lightweight bag of tricks-based neural network for efficient LncRNA–miRNA interaction prediction4
WDGBANDTI: A Deep Graph Convolutional Network-Based Bilinear Attention Network for Drug-Target Interaction Prediction with Domain Adaptation4
A Novel Dual-Level Momentum Distillation Method with Extreme Thresholding for Imputing Single-Cell RNA Sequencing Data3
Empowering Graph Neural Network-Based Computational Drug Repositioning with Large Language Model-Inferred Knowledge Representation3
Improving language model of human genome for DNA–protein binding prediction based on task-specific pre-training3
SeFilter-DIA: Squeeze-and-Excitation Network for Filtering High-Confidence Peptides of Data-Independent Acquisition Proteomics3
sORFPred: A Method Based on Comprehensive Features and Ensemble Learning to Predict the sORFs in Plant LncRNAs3
tensorGSEA: Detecting Differential Pathways in Type 2 Diabetes via Tensor-Based Data Reconstruction3
Self-Supervised Graph Representation Learning for Single-Cell Classification3
TrambaHLApan: A Transformer and Mamba-based Neoantigen Prediction Method Considering both Antigen Presentation and Immunogenicity3
FSCAM: CAM-Based Feature Selection for Clustering scRNA-seq3
PDBms—An online tool for PDB file splitting and interactive molecular visualization3
Drug Repositioning Based on Deep Sparse Autoencoder and Drug–Disease Similarity3
A Multi-modal Drug Target Affinity Prediction Based on Graph Features and Pre-trained Sequence Embeddings3
BMPMDA: Prediction of MiRNA-Disease Associations Using a Space Projection Model Based on Block Matrix3
CSEL-BGC: A Bioinformatics Framework Integrating Machine Learning for Defining the Biosynthetic Evolutionary Landscape of Uncharacterized Antibacterial Natural Products3
Correction to: Brain Tumor Detection and Classification Using Cycle Generative Adversarial Networks3
MLWNNR: LncRNA-Disease Association Prediction with Multi-Kernel Learning-Driven Weighted Nuclear Norm Regularization3
Deep Learning-Based Modeling of Drug–Target Interaction Prediction Incorporating Binding Site Information of Proteins3
LPI-SKMSC: Predicting LncRNA–Protein Interactions with Segmented k-mer Frequencies and Multi-space Clustering3
Application of Semi-supervised Fuzzy Clustering Based on Knowledge Weighting and Cluster Center Learning to Mammary Molybdenum Target Image Segmentation3
Accurately Predicting Cell Type Abundance from Spatial Histology Image Through HPCell3
TP-DDI: A Two-Pathway Deep Neural Network for Drug–Drug Interaction Prediction3
A Novel Drug–Disease Association Prediction Method Based on Deep Non-Negative Matrix Factorization with Local Graph Feature3
Adap-BDCM: Adaptive Bilinear Dynamic Cascade Model for Classification Tasks on CNV Datasets3
A Scalable and Robust Ensemble Deep Learning Method for Predicting Drug-Target Interactions3
MF-MNER: Multi-models Fusion for MNER in Chinese Clinical Electronic Medical Records3
LRT-CLUSTER: A New Clustering Algorithm Based on Likelihood Ratio Test to Identify Driving Genes3
Identify Modules Associated with Immunotherapy Response from Mouse Tumor Profiles for Stratifying Cancer Patients3
StoneNet: An Efficient Lightweight Model Based on Depthwise Separable Convolutions for Kidney Stone Detection from CT Images2
ABTrans: A Transformer-based Model for Predicting Interaction between Anti-Aβ Antibodies and Peptides2
Subgraph Neural Networks Enhanced by Global Similarity for Drug Repositioning2
U-shaped Retinal Vessel Segmentation Based on Adaptive Aggregation of Feature Information2
Predicting CircRNA-Disease Associations Based on Heterogeneous Graph Neural Network and Knowledge Graph Attribute Mining Attention2
BES-Designer: A Web Tool to Design Guide RNAs for Base Editing to Simplify Library2
ScAGCN: Graph Convolutional Network with Adaptive Aggregation Mechanism for scRNA-seq Data Dimensionality Reduction2
Multiple Protein Subcellular Locations Prediction Based on Deep Convolutional Neural Networks with Self-Attention Mechanism2
Enhancing the Feature Representation of Protein Sequence Descriptors in Protein-Protein Interaction Prediction2
Clinical and Laboratory Approach to Diagnose COVID-19 Using Machine Learning2
misORFPred: A Novel Method to Mine Translatable sORFs in Plant Pri-miRNAs Using Enhanced Scalable k-mer and Dynamic Ensemble Voting Strategy2
AMPred-MFG: Investigating the Mutagenicity of Compounds Using Motif-Based Graph Combined with Molecular Fingerprints and Graph Attention Mechanism2
Computer-Aided Diagnosis of Complications After Liver Transplantation Based on Transfer Learning2
ResNeXt-Based Rescoring Model for Proteoform Characterization in Top-Down Mass Spectra2
Identifying Visual Attention Features Accurately Discerning Between Autism and Typically Developing: a Deep Learning Framework2
ResNet-Powered Multi-Class Identification of Sequence Patterns for Genome Replication Timing Analysis2
Towards Reliable Healthcare Imaging: A Multifaceted Approach in Class Imbalance Handling for Medical Image Segmentation2
Joint Low Rank Representation with Symmetric Orthogonal Decomposition for Clustering of scRNA-seq Data2
A Novel Detection Method for High-Order SNP Epistatic Interactions Based on Explicit-Encoding-Based Multitasking Harmony Search2
MetaV: A Pioneer in feature Augmented Meta-Learning Based Vision Transformer for Medical Image Classification2
Ensemble Machine Learning and Predicted Properties Promote Antimicrobial Peptide Identification2
Synchronous Mutual Learning Network and Asynchronous Multi-Scale Embedding Network for miRNA-Disease Association Prediction2
GraphsformerCPI: Graph Transformer for Compound–Protein Interaction Prediction2
A Combined Manual Annotation and Deep-Learning Natural Language Processing Study on Accurate Entity Extraction in Hereditary Disease Related Biomedical Literature2
A Multi-Task Deep Learning Approach for Simultaneous Sleep Staging and Apnea Detection for Elderly People2
HAFMMDA: HIN2vec-Based Attentional Factorization Machines for Predicting Microbe-Drug Associations2
Sensing Compound Substructures Combined with Molecular Fingerprinting to Predict Drug-Target Interactions2
GEnDDn: An lncRNA–Disease Association Identification Framework Based on Dual-Net Neural Architecture and Deep Neural Network2
Reconstructing Waddington Landscape from Cell Migration and Proliferation2
CMedRAGBot: A Chinese Medical Chatbot Based on Graph RAG and Large Language Models2
A Deep Neural Network for Predicting Synergistic Drug Combinations on Cancer2
DSMR: Dual-Stream Networks with Refinement Module for Unsupervised Multi-modal Image Registration2
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