IEEE-ACM Transactions on Computational Biology and Bioinformatics

Papers
(The median citation count of IEEE-ACM Transactions on Computational Biology and Bioinformatics 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Contrasting Multi-Source Temporal Knowledge Graphs for Biomedical Hypothesis Generation159
Row and Column Structure-Based Biclustering for Gene Expression Data137
Inference of a Dynamic Aging-related Biological Subnetwork via Network Propagation120
New Labeling Methods for Deep Learning Real-Valued Inter-Residue Distance Prediction88
Data-Driven and Knowledge-Based Algorithms for Gene Network Reconstruction on High-Dimensional Data88
Higher-Order Proximity-Based MiRNA-Disease Associations Prediction85
An Ensemble Tf-Idf Based Approach to Protein Function Prediction via Sequence Segmentation83
Protein-Protein Interaction Sites Prediction Using Batch Normalization Based CNNs and Oversampling Method Borderline-SMOTE81
Seq-BEL: Sequence-Based Ensemble Learning for Predicting Virus-Human Protein-Protein Interaction76
Prediction of Transcription Factor Binding Sites With an Attention Augmented Convolutional Neural Network76
Analysis of Cancer-Associated Mutations of POLB Using Machine Learning and Bioinformatics72
An Effective Swarm Intelligence Optimization Algorithm for Flexible Ligand Docking72
Prediction of circRNA-MiRNA Association Using Singular Value Decomposition and Graph Neural Networks72
GraphPlas: Refined Classification of Plasmid Sequences Using Assembly Graphs72
ELMo4m6A: A Contextual Language Embedding-Based Predictor for Detecting RNA N6-Methyladenosine Sites71
The Determination of Distinctive Single Nucleotide Polymorphism Sets for the Diagnosis of Behçet's Disease70
Hybrid Projective Synchronization via PI Controller Based on DNA Strand Displacement66
Gene Co-Expression Networks Offer New Perspectives on Sepsis Pathophysiology63
Modality-DTA: Multimodality Fusion Strategy for Drug–Target Affinity Prediction62
Compressed Sparse FM-Index: Fast Sequence Alignment Using Large K-Steps60
Graph Convolutional Auto-Encoders for Predicting Novel lncRNA-Disease Associations60
IPP: An Intelligent Privacy-Preserving Scheme for Detecting Interactions in Genome Association Studies57
VMF-SSD: A Novel V-Space Based Multi-Scale Feature Fusion SSD for Apple Leaf Disease Detection55
IGNSCDA: Predicting CircRNA-Disease Associations Based on Improved Graph Convolutional Network and Negative Sampling54
scBKAP: A Clustering Model for Single-Cell RNA-Seq Data Based on Bisecting K-Means52
Predicting Drug-Drug Interactions Based on Integrated Similarity and Semi-Supervised Learning52
Spatial Stochastic Model of the Pre-B Cell Receptor51
Fine-Grained Lesion Classification Framework for Early Auxiliary Diagnosis51
PseU-KeMRF: A Novel Method for Identifying RNA Pseudouridine Sites50
Feature Fusion GAN Based Virtual Staining on Plant Microscopy Images48
Blockchain-Based Data Access Security Solutions for Medical Wearables48
TransCrispr: Transformer Based Hybrid Model for Predicting CRISPR/Cas9 Single Guide RNA Cleavage Efficiency47
A Neighborhood-Based Global Network Model to Predict Drug-Target Interactions47
Self-Supervised Learning for Label Sparsity in Computational Drug Repositioning46
A Multi-Task Deep Feature Selection Method for Brain Imaging Genetics46
State Observer Design of Coupled Genetic Regulatory Networks With Reaction-Diffusion Terms via Time-Space Sampled-Data Communications44
Improving Biomedical Question Answering by Data Augmentation and Model Weighting44
Analyzing Effect of Multi-Modality in Predicting Protein-Protein Interactions44
RNPredATC: A Deep Residual Learning-Based Model With Applications to the Prediction of Drug-ATC Code Association43
Deep Learning in Gene Regulatory Network Inference: A Survey43
Subgroup Identification Using Virtual Twins for Human Microbiome Studies43
SGNet: Sequence-Based Convolution and Ligand Graph Network for Protein Binding Affinity Prediction42
NMTF-DTI: A Nonnegative Matrix Tri-factorization Approach With Multiple Kernel Fusion for Drug-Target Interaction Prediction41
PSPGO: Cross-Species Heterogeneous Network Propagation for Protein Function Prediction41
An Approach of Epistasis Detection Using Integer Linear Programming Optimizing Bayesian Network40
Predator: Predicting the Impact of Cancer Somatic Mutations on Protein-Protein Interactions40
CIPHER-SC: Disease-Gene Association Inference Using Graph Convolution on a Context-Aware Network With Single-Cell Data38
Minimum Functional Length Analysis of K-Mer Based on BPNN38
Evaluation of Existing Methods for High-Order Epistasis Detection37
Automated Spot Counting in Microbiology37
Group Sparse Joint Non-Negative Matrix Factorization on Orthogonal Subspace for Multi-Modal Imaging Genetics Data Analysis37
Optimized Elastic Network Models With Direct Characterization of Inter-Residue Cooperativity for Protein Dynamics37
DGANDDI: Double Generative Adversarial Networks for Drug-Drug Interaction Prediction36
WVDL: Weighted Voting Deep Learning Model for Predicting RNA-Protein Binding Sites36
Local R-Symmetry Co-Occurrence: Characterising Leaf Image Patterns for Identifying Cultivars36
Robust and Privacy-Preserving Decentralized Deep Federated Learning Training: Focusing on Digital Healthcare Applications35
Transfer Learning Based Lightweight Ensemble Model for Imbalanced Breast Cancer Classification35
Guest Editors’ Introduction to the Special Section on Bioinformatics Research and Applications34
Morphological Rule-Constrained Object Detection of Key Structures in Infant Fundus Image34
Graph Representation Learning Based on Specific Subgraphs for Biomedical Interaction Prediction34
MEDA Based Biochips: Detection, Prevention and Rectification Techniques for Cyberphysical Attacks34
The End-to-End Fetal Head Circumference Detection and Estimation in Ultrasound Images34
SIG: Graph-Based Cancer Subtype Stratification With Gene Mutation Structural Information33
Identification of Enriched Regions in ChIP-Seq Data via a Linear-Time Multi-Level Thresholding Algorithm33
Convolution Neural Networks Using Deep Matrix Factorization for Predicting Circrna-Disease Association33
FGFICA: Independent Component Analysis of Fusion Genomic Features for Mining Epi-Transcriptome Profiling Data33
Guest Editorial Guest Editorial for the 20th Asia Pacific Bioinformatics Conference33
Bi-SeqCNN: A Novel Light-Weight Bi-Directional CNN Architecture for Protein Function Prediction33
How Deepbics Quantifies Intensities of Transcription Factor-DNA Binding and Facilitates Prediction of Single Nucleotide Variant Pathogenicity With a Deep Learning Model Trained On ChIP-Seq Data Sets33
CASL: Capturing Activity Semantics Through Location Information for Enhanced Activity Recognition33
The Intrinsic Similarity of Topological Structure in Biological Neural Networks32
MAHyNet: Parallel Hybrid Network for RNA-Protein Binding Sites Prediction Based on Multi-Head Attention and Expectation Pooling32
DiagAF: A More Accurate and Efficient Pre-Alignment Filter for Sequence Alignment32
Improving Clinical Decision Making With a Two-Stage Recommender System31
Genomic Machine Learning Meta-regression: Insights on Associations of Study Features With Reported Model Performance31
MTGDC: A Multi-Scale Tensor Graph Diffusion Clustering for Single-Cell RNA Sequencing Data31
DGCddG: Deep Graph Convolution for Predicting Protein-Protein Binding Affinity Changes Upon Mutations31
PreVFs-RG: A Deep Hybrid Model for Identifying Virulence Factors Based on Residual Block and Gated Recurrent Unit31
Pathogenicity Prediction of Single Amino Acid Variants With Machine Learning Model Based on Protein Structural Energies31
SAU-Net: A Unified Network for Cell Counting in 2D and 3D Microscopy Images30
Alignment-Free Sequence Comparison: A Systematic Survey From a Machine Learning Perspective30
Helical Three Dimensional Reconstruction Using Bayesian Optimization for Cryogenic Electron Microscopy30
A Deep Learning Approach Considering Image Background for Pneumonia Identification Using Explainable AI (XAI)30
DeepIII: Predicting Isoform-Isoform Interactions by Deep Neural Networks and Data Fusion29
Computational Approaches to Detect Illicit Drug Ads and Find Vendor Communities Within Social Media Platforms29
P2GT: Fine-Grained Genomic Data Access Control With Privacy-Preserving Testing in Cloud Computing29
Explainable Knowledge Distillation for On-Device Chest X-Ray Classification29
A Stochastic Grammar Approach to Mass Classification in Mammograms29
Knowledge Adaptive Multi-Way Matching Network for Biomedical Named Entity Recognition via Machine Reading Comprehension29
iSnoDi-MDRF: Identifying snoRNA-Disease Associations Based on Multiple Biological Data by Ranking Framework29
Clustering Single-Cell RNA Sequence Data Using Information Maximized and Noise-Invariant Representations29
MLDEG: A Machine Learning Approach to Identify Differentially Expressed Genes Using Network Property and Network Propagation28
Generic Context-Aware Group Contributions28
Guest Editorial: Deep Learning For Genomics28
A Hybrid Heuristic-Exact Optimization for Large-Scale Home Health Care Problem28
GRA-GCN: Dense Granule Protein Prediction in Apicomplexa Protozoa Through Graph Convolutional Network28
An Improved Topology Prediction of Alpha-Helical Transmembrane Protein Based on Deep Multi-Scale Convolutional Neural Network28
LDSSNV: A Linkage Disequilibrium-Based Method for the Detection of Somatic Single-Nucleotide Variants28
Circular Clustering With Polar Coordinate Reconstruction28
An Efficient Multiresolution Clustering for Motif Discovery in Complex Networks28
Bayesian Lookahead Perturbation Policy for Inference of Regulatory Networks28
META-BASE: A Novel Architecture for Large-Scale Genomic Metadata Integration27
Target Control of Asynchronous Boolean Networks27
Multi-Label Classification With Dual Tail-Node Augmentation for Drug Repositioning27
Multiview Robust Graph-Based Clustering for Cancer Subtype Identification27
GenCoder: A Novel Convolutional Neural Network Based Autoencoder for Genomic Sequence Data Compression27
MSCET: A Multi-Scenario Offloading Schedule for Biomedical Data Processing and Analysis in Cloud-Edge-Terminal Collaborative Vehicular Networks27
Deep Nonnegative Matrix Factorization Using a Variational Autoencoder With Application to Single-Cell RNA Sequencing Data27
Modeling Defensive Response of Cells to Therapies: Equilibrium Interventions for Regulatory Networks27
EnsDeepDP: An Ensemble Deep Learning Approach for Disease Prediction Through Metagenomics27
DinoKnot: Duplex Interaction of Nucleic Acids With PseudoKnots26
Generative Biomedical Event Extraction With Constrained Decoding Strategy26
StemP: A Fast and Deterministic Stem-Graph Approach for RNA Secondary Structure Prediction26
Predicting Drug Synergism by Means of Non-Negative Matrix Tri-Factorization26
A Learning Robust and Discriminative Shape Descriptor for Plant Species Identification26
COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures25
Inferring Gene Co-Expression Networks by Incorporating Prior Protein-Protein Interaction Networks25
Design of Constraint Coding Sets for Archive DNA Storage25
LipGene: Lipschitz Continuity Guided Adaptive Learning Rates for Fast Convergence on Microarray Expression Data Sets25
iPhosS(Deep)-PseAAC: Identification of Phosphoserine Sites in Proteins Using Deep Learning on General Pseudo Amino Acid Compositions24
A Cascaded Mutliresolution Ensemble Deep Learning Framework for Large Scale Alzheimer's Disease Detection Using Brain MRIs24
Combining Zhegalkin Polynomials and SAT Solving for Context-Specific Boolean Modeling of Biological Systems24
Algorithms and Hardness for Scaffold Filling to Maximize Increased Duo-Preservations23
Integrated CNN and Federated Learning for COVID-19 Detection on Chest X-Ray Images23
TripletProt: Deep Representation Learning of Proteins Based On Siamese Networks23
Exhaustive Exploitation of Nature-Inspired Computation for Cancer Screening in an Ensemble Manner23
A Mutual Attention Model for Drug Target Binding Affinity Prediction22
DeepSide: A Deep Learning Approach for Drug Side Effect Prediction22
GEFA: Early Fusion Approach in Drug-Target Affinity Prediction22
Adaptive Stochastic Optimization to Improve Protein Conformation Sampling22
Densely Connected U-Net With Criss-Cross Attention for Automatic Liver Tumor Segmentation in CT Images22
dwMLCS: An Efficient MLCS Algorithm Based on Dynamic and Weighted Directed Acyclic Graph22
Gene Teams are on the Field: Evaluation of Variants in Gene-Networks Using High Dimensional Modelling22
SMGCN: Multiple Similarity and Multiple Kernel Fusion Based Graph Convolutional Neural Network for Drug-Target Interactions Prediction22
Generative Adversarial Network-Based Augmentation With Noval 2-Step Authentication for Anti-Coronavirus Peptide Prediction22
The C-SHIFT Algorithm for Normalizing Covariances22
Space-Efficient Indexing of Spaced Seeds for Accurate Overlap Computation of Raw Optical Mapping Data22
Incremental RPN: Hierarchical Region Proposal Network for Apple Leaf Disease Detection in Natural Environments21
Circadian Rhythm Regulated by Tumor Suppressor p53 and Time Delay in Unstressed Cells21
Construction of Gene Expression Patterns to Identify Critical Genes Under SARS-CoV-2 Infection Conditions21
Improved Protein Decoy Selection via Non-Negative Matrix Factorization21
TSVM: Transfer Support Vector Machine for Predicting MPRA Validated Regulatory Variants21
Efficient Approximate Kernel Based Spike Sequence Classification21
I-Health: SDN-Based Fog Architecture for IIoT Applications in Healthcare21
A Novel Method for Inferring Chemical Compounds With Prescribed Topological Substructures Based on Integer Programming21
Parallel Algorithm for Discovering and Comparing Three-Dimensional Proteins Patterns21
An Effective Multi-Label Protein Sub-Chloroplast Localization Prediction by Skipped-Grams of Evolutionary Profiles Using Deep Neural Network21
CPGL: Prediction of Compound-Protein Interaction by Integrating Graph Attention Network With Long Short-Term Memory Neural Network21
NGCICM: A Novel Deep Learning-Based Method for Predicting circRNA-miRNA Interactions20
MCA-Net: Multi-Feature Coding and Attention Convolutional Neural Network for Predicting lncRNA-Disease Association20
Predicting miRNA-Disease Associations From miRNA-Gene-Disease Heterogeneous Network With Multi-Relational Graph Convolutional Network Model20
LDA-LNSUBRW: lncRNA-Disease Association Prediction Based on Linear Neighborhood Similarity and Unbalanced bi-Random Walk20
Gene Differential Co-Expression Networks Based on RNA-Seq: Construction and Its Applications20
Robust KALMAN Filter State Estimation for Gene Regulatory Networks20
Assessment of Prediction Uncertainty Quantification Methods in Systems Biology20
Feature-Sensitive Deep Convolutional Neural Network for Multi-Instance Breast Cancer Detection20
Game-Theoretic Flux Balance Analysis Model for Predicting Stable Community Composition19
scTSSR2: Imputing Dropout Events for Single-Cell RNA Sequencing Using Fast Two-Side Self-Representation19
A Multi-Relational Graph Encoder Network for Fine-Grained Prediction of MiRNA-Disease Associations19
GeNVoM: Read Mapping Near Non-Volatile Memory19
Common Attractors in Multiple Boolean Networks19
Prediction of Drug–Disease Associations Based on Multi-Kernel Deep Learning Method in Heterogeneous Graph Embedding19
New Distance-Based approach for Genome-Wide Association Studies19
Editorial19
Age Prediction by DNA Methylation in Neural Networks18
An Interpretable Deep Learning Approach for Biomarker Detection in LC-MS Proteomics Data18
Patient Graph Deep Learning to Predict Breast Cancer Molecular Subtype18
A Novel Method for Identification of Glutarylation Sites Combining Borderline-SMOTE With Tomek Links Technique in Imbalanced Data18
PointDE: Protein Docking Evaluation Using 3D Point Cloud Neural Network18
exp2GO: Improving Prediction of Functions in the Gene Ontology With Expression Data18
A Comprehensive Survey of Deep Learning Techniques in Protein Function Prediction18
Network Classification Based on Reducibility With Respect to the Stability of Canalizing Power of Genes in a Gene Regulatory Network – A Boolean Network Modeling Perspective18
In Silico Prediction of New Mutations That Can Improve the Binding Abilities Between 2019-nCoV Coronavirus and Human ACE218
A Construction Method of Dynamic Protein Interaction Networks by Using Relevant Features of Gene Expression Data18
Constrained Pseudo-Time Ordering for Clinical Transcriptomics Data18
DomBpred: Protein Domain Boundary Prediction Based on Domain-Residue Clustering Using Inter-Residue Distance18
A Review of Fusion Methods for Omics and Imaging Data18
The Exact Stochastic Process of the Haploid Multi-Allelic Wright-Fisher Mutation Model18
K2Mem: Discovering Discriminative K-mers From Sequencing Data for Metagenomic Reads Classification18
aWCluster: A Novel Integrative Network-Based Clustering of Multiomics for Subtype Analysis of Cancer Data18
Cross-Modality LGE-CMR Segmentation Using Image-to-Image Translation Based Data Augmentation17
GOGCN: Graph Convolutional Network on Gene Ontology for Functional Similarity Analysis of Genes17
Noise Reduction Learning Based on XLNet-CRF for Biomedical Named Entity Recognition17
BRMCF: Binary Relevance and MLSMOTE Based Computational Framework to Predict Drug Functions From Chemical and Biological Properties of Drugs17
Identifying Gene Signatures for Cancer Drug Repositioning Based on Sample Clustering17
ParRADMeth: Identification of Differentially Methylated Regions on Multicore Clusters17
NCMD: Node2vec-Based Neural Collaborative Filtering for Predicting MiRNA-Disease Association17
Enhancing Drug-Drug Interaction Prediction Using Deep Attention Neural Networks17
Prediction of Malignant Breast Cancer Cases Using Ensemble Machine Learning: A Case Study of Pesticides Prone Area17
PiTLiD: Identification of Plant Disease From Leaf Images Based on Convolutional Neural Network17
A Multimodal Framework for Improving in Silico Drug Repositioning With the Prior Knowledge From Knowledge Graphs17
Heterogeneity in Blood Biomarker Trajectories After Mild TBI Revealed by Unsupervised Learning17
Integrating Molecular Graph Data of Drugs and Multiple -Omic Data of Cell Lines for Drug Response Prediction17
Constructing Integrative ceRNA Networks and Finding Prognostic Biomarkers in Renal Cell Carcinoma17
Predicting In-Vitro DNA-Protein Binding With a Spatially Aligned Fusion of Sequence and Shape17
GraphPLBR: Protein-Ligand Binding Residue Prediction With Deep Graph Convolution Network17
Supervised Graph Clustering for Cancer Subtyping Based on Survival Analysis and Integration of Multi-Omic Tumor Data17
PrivaTree: Collaborative Privacy-Preserving Training of Decision Trees on Biomedical Data17
Using Fully Convolutional Network to Locate Transcription Factor Binding Sites Based on DNA Sequence and Conservation Information17
SCN-MLTPP: A Multi-Label Classifier for Predicting Therapeutic Properties of Peptides Using the Stacked Capsule Network16
AngClust: Angle Feature-Based Clustering for Short Time Series Gene Expression Profiles16
TNet: Transmission Network Inference Using Within-Host Strain Diversity and its Application to Geographical Tracking of COVID-19 Spread16
AFExNet: An Adversarial Autoencoder for Differentiating Breast Cancer Sub-Types and Extracting Biologically Relevant Genes16
TemPred: A Novel Protein Template Search Engine to Improve Protein Structure Prediction16
A Multiview Clustering Method With Low-Rank and Sparsity Constraints for Cancer Subtyping16
PredinID: Predicting Pathogenic Inframe Indels in Human Through Graph Convolution Neural Network With Graph Sampling Technique16
Efficient Inference of Spatially-Varying Gaussian Markov Random Fields With Applications in Gene Regulatory Networks16
Defining Phylogenetic Network Distances Using Cherry Operations16
Heterogeneous Multi-Task Learning With Expert Diversity16
An Extensive Examination of Discovering 5-Methylcytosine Sites in Genome-Wide DNA Promoters Using Machine Learning Based Approaches16
MicroRNA Promoter Identification in Human With a Three-level Prediction Method16
Significance-Based Essential Protein Discovery16
AttentionDTA: Drug–Target Binding Affinity Prediction by Sequence-Based Deep Learning With Attention Mechanism16
Exploring the Knowledge of an Outstanding Protein to Protein Interaction Transformer16
Tuberculosis Diagnosis Using Deep Transferred EfficientNet16
Calculation of the Weight of Evidence for Combined Single-Cell and Extracellular Forensic DNA15
Robust Principal Component Analysis Based On Hypergraph Regularization for Sample Clustering and Co-Characteristic Gene Selection15
CNNGRN: A Convolutional Neural Network-Based Method for Gene Regulatory Network Inference From Bulk Time-Series Expression Data15
De Novo Drug Design by Multi-Objective Path Consistency Learning With Beam A* Search15
Time-Aware Multi-Type Data Fusion Representation Learning Framework for Risk Prediction of Cardiovascular Diseases15
TransSurv: Transformer-Based Survival Analysis Model Integrating Histopathological Images and Genomic Data for Colorectal Cancer15
Differential Gene Expression Prediction by Ensemble Deep Networks on Histone Modification Data15
Identifying Gene Network Rewiring Based on Partial Correlation15
Functional Neural Networks for High-Dimensional Genetic Data Analysis15
AllelePred: A Simple Allele Frequencies Ensemble Predictor for Different Single Nucleotide Variants15
MISSH: Fast Hashing of Multiple Spaced Seeds15
Deep Learning in Drug Design: Protein-Ligand Binding Affinity Prediction15
Identifying Differentially Expressed Genes in RNA Sequencing Data With Small Labelled Samples15
Large-Scale Multiple Sequence Alignment and the Maximum Weight Trace Alignment Merging Problem15
Use Chou's 5-Steps Rule With Different Word Embedding Types to Boost Performance of Electron Transport Protein Prediction Model15
SCAMPER: Accurate Type-Specific Prediction of Calcium-Binding Residues Using Sequence-Derived Features14
TransRNAm: Identifying Twelve Types of RNA Modifications by an Interpretable Multi-Label Deep Learning Model Based on Transformer14
DeepSG2PPI: A Protein-Protein Interaction Prediction Method Based on Deep Learning14
MV-H-RKM: A Multiple View-Based Hypergraph Regularized Restricted Kernel Machine for Predicting DNA-Binding Proteins14
Enhancing Generalizability in Biomedical Entity Recognition: Self-Attention PCA-CLS Model14
A Method for Predicting DNA Motif Length Based On Deep Learning14
PPISB: A Novel Network-Based Algorithm of Predicting Protein-Protein Interactions With Mixed Membership Stochastic Blockmodel14
Computational Prediction of Drug-Disease Association Based on Graph-Regularized One Bit Matrix Completion14
Multi-Modality Fusion & Inductive Knowledge Transfer Underlying Non-Sparse Multi-Kernel Learning and Distribution Adaption14
Prediction of Enhancers in DNA Sequence Data using a Hybrid CNN-DLSTM Model14
Semi-Supervised Deep Learning for Cell Type Identification From Single-Cell Transcriptomic Data14
MSF-LRR: Multi-Similarity Information Fusion Through Low-Rank Representation to Predict Disease-Associated Microbes14
Counting Sorting Scenarios and Intermediate Genomes for the Rank Distance14
scCDG: A Method Based on DAE and GCN for scRNA-Seq Data Analysis14
RabbitFX: Efficient Framework for FASTA/Q File Parsing on Modern Multi-Core Platforms14
SACall: A Neural Network Basecaller for Oxford Nanopore Sequencing Data Based on Self-Attention Mechanism14
Multi-Modal Classification for Human Breast Cancer Prognosis Prediction: Proposal of Deep-Learning Based Stacked Ensemble Model14
On Monomeric and Multimeric Structures-Based Protein-Ligand Interactions14
Parallel Protein Community Detection in Large-scale PPI Networks Based on Multi-source Learning14
Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation14
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