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 2021-08-01 to 2025-08-01.)
ArticleCitations
OTNet: A CNN Method Based on Hierarchical Attention Maps for Grading Arteriosclerosis of Fundus Images with Small Samples126
Unraveling Brain Synchronisation Dynamics by Explainable Neural Networks using EEG Signals: Application to Dyslexia Diagnosis60
Construction of a Pearson- and MIC-Based Co-expression Network to Identify Potential Cancer Genes58
DP-ID: Interleaving and Denoising to Improve the Quality of DNA Storage Image52
Deep Clustering-Based Metabolic Stratification of Non-Small Cell Lung Cancer Patients Through Integration of Somatic Mutation Profile and Network Propagation Algorithm46
ResDeepSurv: A Survival Model for Deep Neural Networks Based on Residual Blocks and Self-attention Mechanism45
Automated Brain Tumor Classification and Grading Using Multi-scale Graph Neural Network with Spatio-Temporal Transformer Attention Through MRI Scans45
Computational Study of Methionine Methylation Process Catalyzed by SETD339
CA-UNet Segmentation Makes a Good Ischemic Stroke Risk Prediction39
An Integrated TCN-CrossMHA Model for Predicting circRNA-RBP Binding Sites36
DCPPS: Prediction of Kinase-Specific Phosphorylation Sites Using Dynamic Embedding and Cross-Representation Interaction30
PDDGCN: A Parasitic Disease–Drug Association Predictor Based on Multi-view Fusion Graph Convolutional Network27
Differential Diagnosis of DCIS and Fibroadenoma Based on Ultrasound Images: a Difference-Based Self-Supervised Approach25
Machine Learning Accelerates De Novo Design of Antimicrobial Peptides23
Cervical Cancer Classification From Pap Smear Images Using Deep Convolutional Neural Network Models23
AMFCL: Predicting miRNA-Disease Associations Through Adaptive Multi-source Modality Fusion and Contrastive Learning22
A Domain Adaptive Interpretable Substructure-Aware Graph Attention Network for Drug–Drug Interaction Prediction21
Development of Electrochemical Biosensor for miR204-Based Cancer Diagnosis21
Diagnosis of Pancreatic Cancer Using miRNA30e Biosensor20
dbMisLoc: A Manually Curated Database of Conditional Protein Mis-localization Events19
Adaptive Multi-Kernel Graph Neural Network for Drug-Drug Interaction Prediction19
BiGM-lncLoc: Bi-level Multi-Graph Meta-Learning for Predicting Cell-Specific Long Noncoding RNAs Subcellular Localization19
ViruSeg: Harnessing the Power of Large Language-Image Model for Enhanced Virus Image Segmentation17
Identifying Lymph Node Metastasis-Related Factors in Breast Cancer Using Differential Modular and Mutational Structural Analysis17
Developing a Novel Methodology by Integrating Deep Learning and HMM for Segmentation of Retinal Blood Vessels in Fundus Images16
Cell Fate Dynamics Reconstruction Identifies TPT1 and PTPRZ1 Feedback Loops as Master Regulators of Differentiation in Pediatric Glioblastoma-Immune Cell Networks16
Development of an Expert-Level Right Ventricular Abnormality Detection Algorithm Based on Deep Learning16
EfficientNet-resDDSC: A Hybrid Deep Learning Model Integrating Residual Blocks and Dilated Convolutions for Inferring Gene Causality in Single-Cell Data14
A Multi-view Molecular Pre-training with Generative Contrastive Learning13
A Hierarchical Error Correction Strategy for Text DNA Storage13
OptimDase: An Algorithm for Predicting DNA Binding Sites with Combined Feature Encoding13
Single-Cell Transcriptome Analysis Reveals the Role of Pancreatic Secretome in COVID-19 Associated Multi-organ Dysfunctions13
Drug Sensitivity Prediction Based on Multi-stage Multi-modal Drug Representation Learning12
CR-deal: Explainable Neural Network for circRNA-RBP Binding Site Recognition and Interpretation12
MFFBi-Unet: Merging Dynamic Sparse Attention and Multi-scale Feature Fusion for Medical Image Segmentation11
Exploring Novel Fentanyl Analogues Using a Graph-Based Transformer Model11
scVAEBGM: Clustering Analysis of Single-Cell ATAC-seq Data Using a Deep Generative Model10
Plant lncRNA-miRNA Interaction Prediction Based on Counterfactual Heterogeneous Graph Attention Network10
scEM: A New Ensemble Framework for Predicting Cell Type Composition Based on scRNA-Seq Data10
Review of Progress in Diagnostic Studies of Autism Spectrum Disorder Using Neuroimaging10
Transformative Deep Neural Network Approaches in Kidney Ultrasound Segmentation: Empirical Validation with an Annotated Dataset10
easyMF: A Web Platform for Matrix Factorization-Based Gene Discovery from Large-scale Transcriptome Data9
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 the Molecular Basis of Substrate and Product Selectivities of Nocardicin Bifunctional Thioesterase9
Construction and Application of Traditional Chinese Medicine Knowledge Graph Based on Large Language Model9
Integrating Protein–Protein Interaction Networks and Somatic Mutation Data to Detect Driver Modules in Pan-Cancer8
Semantic Consistency Network with Edge Learner and Connectivity Enhancer for Cervical Tumor Segmentation from Histopathology Images8
DOTAD: A Database of Therapeutic Antibody Developability8
MVGCNMDA: Multi-view Graph Augmentation Convolutional Network for Uncovering Disease-Related Microbes8
Improving the Prediction of Potential Kinase Inhibitors with Feature Learning on Multisource Knowledge8
Biomarker Identification in Membranous Nephropathy Using a Long Non-coding RNA-Mediated Competitive Endogenous RNA Network8
A Review of Parallel Implementations for the Smith–Waterman Algorithm7
SMART v1.0: A Database for Small Molecules with Functional Implications in Plants7
CHL-DTI: A Novel High–Low Order Information Convergence Framework for Effective Drug–Target Interaction Prediction7
CRBP-HFEF: Prediction of RBP-Binding Sites on circRNAs Based on Hierarchical Feature Expansion and Fusion7
iAmyP: A Multi-view Learning for Amyloidogenic Hexapeptides Identification Based on Sequence Least Squares Programming7
Correction to: HD5 and LL‑37 Inhibit SARS‑CoV and SARS‑CoV‑2 Binding to Human ACE2 by Molecular Simulation7
Classification of Glomerular Pathology Images in Children Using Convolutional Neural Networks with Improved SE-ResNet Module7
PredAPP: Predicting Anti-Parasitic Peptides with Undersampling and Ensemble Approaches7
IDDLncLoc: Subcellular Localization of LncRNAs Based on a Framework for Imbalanced Data Distributions7
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
IHDFN-DTI: Interpretable Hybrid Deep Feature Fusion Network for Drug–Target Interaction Prediction7
Multi-kernel Learning Fusion Algorithm Based on RNN and GRU for ASD Diagnosis and Pathogenic Brain Region Extraction7
PmliHFM: Predicting Plant miRNA-lncRNA Interactions with Hybrid Feature Mining Network7
A Novel Deep Learning Model for Medical Image Segmentation with Convolutional Neural Network and Transformer6
In silico Methods for Identification of Potential Therapeutic Targets6
Combining Global-Constrained Concept Factorization and a Regularized Gaussian Graphical Model for Clustering Single-Cell RNA-seq Data6
Discovery of a Natural Product with Potent Efficacy Against SARS-CoV-2 by Drug Screening6
Dual Attention Mechanisms and Feature Fusion Networks Based Method for Predicting LncRNA-Disease Associations6
Predicting Drug Synergy and Discovering New Drug Combinations Based on a Graph Autoencoder and Convolutional Neural Network6
CD47Binder: Identify CD47 Binding Peptides by Combining Next-Generation Phage Display Data and Multiple Peptide Descriptors6
RicENN: Prediction of Rice Enhancers with Neural Network Based on DNA Sequences6
MTGGF: A Metabolism Type-Aware Graph Generative Model for Molecular Metabolite Prediction6
stGNN: Spatially Informed Cell-Type Deconvolution Based on Deep Graph Learning and Statistical Modeling6
NPI-HGNN: A Heterogeneous Graph Neural Network-Based Approach for Predicting ncRNA-Protein Interactions6
Complex Prediction in Large PPI Networks Using Expansion and Stripe of Core Cliques5
Efficient De Novo Assembly and Recovery of Microbial Genomes from Complex Metagenomes Using a Reduced Set of k-mers5
Efficient Storage and Analysis of Genomic Data: A k-mer Frequency Mapping and Image Representation Method5
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
scRDiT: Generating Single-cell RNA-seq Data by Diffusion Transformers and Accelerating Sampling5
DynamicDTA: Drug-Target Binding Affinity Prediction Using Dynamic Descriptors and Graph Representation5
AMPFLDAP: Adaptive Message Passing and Feature Fusion on Heterogeneous Network for LncRNA-Disease Associations Prediction5
Reinforced Collaborative-Competitive Representation for Biomedical Image Recognition5
EPI-Mind: Identifying Enhancer–Promoter Interactions Based on Transformer Mechanism5
RNA Folding Based on 5 Beads Model and Multiscale Simulation5
A Self-attention Graph Convolutional Network for Precision Multi-tumor Early Diagnostics with DNA Methylation Data4
Bilinear Perceptual Fusion Algorithm Based on Brain Functional and Structural Data for ASD Diagnosis and Regions of Interest Identification4
Viral Rebound After Antiviral Treatment: A Mathematical Modeling Study of the Role of Antiviral Mechanism of Action4
CSEL-BGC: A Bioinformatics Framework Integrating Machine Learning for Defining the Biosynthetic Evolutionary Landscape of Uncharacterized Antibacterial Natural Products4
Visualizing a Field of Research for the Coronavirus Replication in Humans with Knowledge Mapping: Evidence from Web of Science4
Classification of Brain Tumors in MRI Images with Brain-CNXSAMNet: Integrating Hybrid ConvNeXt and Spatial Attention Module Networks4
PredPromoter-MF(2L): A Novel Approach of Promoter Prediction Based on Multi-source Feature Fusion and Deep Forest4
DASNet: A Convolutional Neural Network with SE Attention Mechanism for ccRCC Tumor Grading4
BoT-Net: a lightweight bag of tricks-based neural network for efficient LncRNA–miRNA interaction prediction4
A Multi-perspective Model for Protein–Ligand-Binding Affinity Prediction4
Predicting Protein–Ligand Binding Affinity Using Fusion Model of Spatial-Temporal Graph Neural Network and 3D Structure-Based Complex Graph4
DeepPI: Alignment-Free Analysis of Flexible Length Proteins Based on Deep Learning and Image Generator4
Multi-feature Fusion Method Based on Linear Neighborhood Propagation Predict Plant LncRNA–Protein Interactions4
Improving language model of human genome for DNA–protein binding prediction based on task-specific pre-training3
Identification of Type II Toxin-Antitoxin Loci in Levilactobacillus brevis3
WDGBANDTI: A Deep Graph Convolutional Network-Based Bilinear Attention Network for Drug-Target Interaction Prediction with Domain Adaptation3
BMPMDA: Prediction of MiRNA-Disease Associations Using a Space Projection Model Based on Block Matrix3
A Multi-modal Drug Target Affinity Prediction Based on Graph Features and Pre-trained Sequence Embeddings3
A Novel Drug–Disease Association Prediction Method Based on Deep Non-Negative Matrix Factorization with Local Graph Feature3
MF-MNER: Multi-models Fusion for MNER in Chinese Clinical Electronic Medical Records3
FTWSVM-SR: DNA-Binding Proteins Identification via Fuzzy Twin Support Vector Machines on Self-Representation3
Machine Learning Applications in Drug Repurposing3
Correction to: Brain Tumor Detection and Classification Using Cycle Generative Adversarial Networks3
TP-DDI: A Two-Pathway Deep Neural Network for Drug–Drug Interaction Prediction3
tensorGSEA: Detecting Differential Pathways in Type 2 Diabetes via Tensor-Based Data Reconstruction3
Drug Repositioning Based on Deep Sparse Autoencoder and Drug–Disease Similarity3
SeFilter-DIA: Squeeze-and-Excitation Network for Filtering High-Confidence Peptides of Data-Independent Acquisition Proteomics3
DNA Methylation Recognition Using Hybrid Deep Learning with Dual Nucleotide Visualization Fusion Feature Encoding3
Adap-BDCM: Adaptive Bilinear Dynamic Cascade Model for Classification Tasks on CNV Datasets3
sORFPred: A Method Based on Comprehensive Features and Ensemble Learning to Predict the sORFs in Plant LncRNAs3
Self-Supervised Graph Representation Learning for Single-Cell Classification3
LRT-CLUSTER: A New Clustering Algorithm Based on Likelihood Ratio Test to Identify Driving Genes3
ABTrans: A Transformer-based Model for Predicting Interaction between Anti-Aβ Antibodies and Peptides2
A Combined Manual Annotation and Deep-Learning Natural Language Processing Study on Accurate Entity Extraction in Hereditary Disease Related Biomedical Literature2
Predicting CircRNA-Disease Associations Based on Heterogeneous Graph Neural Network and Knowledge Graph Attribute Mining Attention2
Enhancing the Feature Representation of Protein Sequence Descriptors in Protein-Protein Interaction Prediction2
ScAGCN: Graph Convolutional Network with Adaptive Aggregation Mechanism for scRNA-seq Data Dimensionality Reduction2
BES-Designer: A Web Tool to Design Guide RNAs for Base Editing to Simplify Library2
Inferring Gene Regulatory Networks Using the Improved Markov Blanket Discovery Algorithm2
Lung Cancer Detection and Improving Accuracy Using Linear Subspace Image Classification Algorithm2
Application of Semi-supervised Fuzzy Clustering Based on Knowledge Weighting and Cluster Center Learning to Mammary Molybdenum Target Image Segmentation2
MLWNNR: LncRNA-Disease Association Prediction with Multi-Kernel Learning-Driven Weighted Nuclear Norm Regularization2
Towards Reliable Healthcare Imaging: A Multifaceted Approach in Class Imbalance Handling for Medical Image Segmentation2
Rhythmic Component Analysis Tool (RCAT): A Precise, Efficient and User-Friendly Tool for Circadian Clock Genes Analysis2
HAFMMDA: HIN2vec-Based Attentional Factorization Machines for Predicting Microbe-Drug Associations2
U-shaped Retinal Vessel Segmentation Based on Adaptive Aggregation of Feature Information2
Sensing Compound Substructures Combined with Molecular Fingerprinting to Predict Drug-Target Interactions2
A Deep Neural Network for Predicting Synergistic Drug Combinations on Cancer2
Deep Learning-Based Modeling of Drug–Target Interaction Prediction Incorporating Binding Site Information of Proteins2
CMedRAGBot: A Chinese Medical Chatbot Based on Graph RAG and Large Language Models2
Multiple Protein Subcellular Locations Prediction Based on Deep Convolutional Neural Networks with Self-Attention Mechanism2
Empowering Graph Neural Network-Based Computational Drug Repositioning with Large Language Model-Inferred Knowledge Representation2
FSCAM: CAM-Based Feature Selection for Clustering scRNA-seq2
Reconstructing Waddington Landscape from Cell Migration and Proliferation2
Identification of Benign and Malignant Lung Nodules in CT Images Based on Ensemble Learning Method2
Ensemble Machine Learning and Predicted Properties Promote Antimicrobial Peptide Identification2
Clinical and Laboratory Approach to Diagnose COVID-19 Using Machine Learning2
MetaV: A Pioneer in feature Augmented Meta-Learning Based Vision Transformer for Medical Image Classification2
Identify Modules Associated with Immunotherapy Response from Mouse Tumor Profiles for Stratifying Cancer Patients2
A Novel Detection Method for High-Order SNP Epistatic Interactions Based on Explicit-Encoding-Based Multitasking Harmony Search2
LPI-SKMSC: Predicting LncRNA–Protein Interactions with Segmented k-mer Frequencies and Multi-space Clustering2
PDBms—An online tool for PDB file splitting and interactive molecular visualization2
Enabling Artificial Intelligence for Genome Sequence Analysis of COVID-19 and Alike Viruses2
GEnDDn: An lncRNA–Disease Association Identification Framework Based on Dual-Net Neural Architecture and Deep Neural Network2
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