All Stories

  1. Expensive multiobjective immune algorithm using a novel differential evolution in objective space
  2. Evolutionary multi-task robust architecture search for network intrusion detection
  3. A pre-trained large generative model for translating single-cell transcriptomes to proteomes
  4. DermaMamba: A Dual-Branch Vision Mamba Architecture with Linear Complexity for Efficient Skin Lesion Classification
  5. Precision oncology informatics for anticancer drug combination responses: A systematic review
  6. scOTM: A Deep Learning Framework for Predicting Single-Cell Perturbation Responses with Large Language Models
  7. DeepNanoHi-C: deep learning enables accurate single-cell nanopore long-read data analysis and 3D genome interpretation
  8. Topological identification and interpretation for single-cell epigenetic regulation elucidation in multi-tasks using scAGDE
  9. EnrichRBP: an automated and interpretable computational platform for predicting and analyzing RNA-binding protein events
  10. Dynamic Graph Representation Learning for Spatio-Temporal Neuroimaging Analysis
  11. When East Meets West: Cross-domain Drug Interaction Annotations with Large Language Models and Bidirectional Neural Networks
  12. scPER2P: Parameter-Efficient Single-Cell LLM for Translated Proteome Profiles
  13. SOPA: Sensitivity-Oriented Poisoning Attack for Self-Supervised Graph Embedding Model via Bilevel Evolutionary Optimization
  14. Federated Intrusion Detection System With Cost-Sensitive Learning for Internet of Things
  15. Genetic Perturbation Modelling for Human Cell Therapy With BRNET
  16. M1 macrophage-related prognostic model by combining bulk and single-cell transcriptomic data in NSCLC
  17. UniPTM: Multiple PTM site prediction on full-length protein sequence
  18. Unraveling Spatial Domain Characterization in Spatially Resolved Transcriptomics with Robust Graph Contrastive Clustering
  19. HE2Gene: Image-to-RNA translation via multi-task learning for spatial transcriptomics data
  20. SOFB is a comprehensive ensemble deep learning approach for elucidating and characterizing protein-nucleic-acid-binding residues
  21. TP-LMMSG: a peptide prediction graph neural network incorporating flexible amino acid property representation
  22. Discovering DNA shape motifs with multiple DNA shape features: generalization, methods, and validation
  23. TransPTM: a transformer-based model for non-histone acetylation site prediction
  24. A dual diffusion model enables 3D molecule generation and lead optimization based on target pockets
  25. Evolving pathway activation from cancer gene expression data using nature-inspired ensemble optimization
  26. Core–Periphery Detection Based on Masked Bayesian Nonnegative Matrix Factorization
  27. Exhaustive Exploitation of Nature-Inspired Computation for Cancer Screening in an Ensemble Manner
  28. Spatio-Temporal Hybrid Attentive Graph Network for Diagnosis of Mental Disorders on fMRI Time-Series Data
  29. Directed Link Prediction using GNN with Local and Global Feature Fusion
  30. Synergizing Anti-Cancer Drug Combinations With Dual-View Hypergraph Representation Fusion
  31. Automated exploitation of deep learning for cancer patient stratification across multiple types
  32. Dynamic characterization and interpretation for protein-RNA interactions across diverse cellular conditions using HDRNet
  33. Evolutionary Multitasking for Large-Scale Multiobjective Optimization
  34. Chromothripsis Detection with Multiple Myeloma Patients Based on Deep Graph Learning
  35. Deep transfer learning for clinical decision-making based on high-throughput data: comprehensive survey with benchmark results
  36. An Immune-Inspired Resource Allocation Strategy for Many-Objective Optimization
  37. Evolutionary Large-Scale Multiobjective Optimization: Benchmarks and Algorithms
  38. Hyperspectral Image Denoising via Weighted Multidirectional Low-Rank Tensor Recovery
  39. A Hybrid Search Method for Accelerating Convolutional Neural Architecture Search
  40. scBGEDA: deep single-cell clustering analysis via a dual denoising autoencoder with bipartite graph ensemble clustering
  41. Topological identification and interpretation for single-cell gene regulation elucidation across multiple platforms using scMGCA
  42. Learning the protein language of proteome-wide protein-protein binding sites via explainable ensemble deep learning
  43. Machine learning in metastatic cancer research: Potentials, possibilities, and prospects
  44. Spatial–Temporal Co-Attention Learning for Diagnosis of Mental Disorders From Resting-State fMRI Data
  45. Towards Evolutionary Multi-Task Convolutional Neural Architecture Search
  46. CoaDTI: multi-modal co-attention based framework for drug–target interaction annotation
  47. Evolutionary Multiobjective Clustering Algorithms With Ensemble for Patient Stratification
  48. Improving Chemical Reaction Prediction with Unlabeled Data
  49. A Block-Based Adaptive Decoupling Framework for Graph Neural Networks
  50. scWMC: weighted matrix completion-based imputation of scRNA-seq data via prior subspace information
  51. Multiobjective Deep Clustering and its Applications in Single-cell RNA-seq Data
  52. SRG-Vote: Predicting Mirna-Gene Relationships via Embedding and LSTM Ensemble
  53. Subclass-Specific Prognosis and Treatment Efficacy Inference in Head and Neck Squamous Carcinoma
  54. Intrusion detection using multi-objective evolutionary convolutional neural network for Internet of Things in Fog computing
  55. GMHCC: high-throughput analysis of biomolecular data using graph-based multiple hierarchical consensus clustering
  56. Human disease prediction from microbiome data by multiple feature fusion and deep learning
  57. Leveraging Multi-source knowledge for Chinese clinical named entity recognition via relational graph convolutional network
  58. Particle Swarm Optimized Gaussian Process Classifier for Treatment Discontinuation Prediction in Multicohort Metastatic Castration-Resistant Prostate Cancer Patients
  59. HCRNet: high-throughput circRNA-binding event identification from CLIP-seq data using deep temporal convolutional network
  60. A Self-Guided Reference Vector Strategy for Many-Objective Optimization
  61. A self-adaptive weighted differential evolution approach for large-scale feature selection
  62. Attention-Like Multimodality Fusion With Data Augmentation for Diagnosis of Mental Disorders Using MRI
  63. Exploring high-throughput biomolecular data with multiobjective robust continuous clustering
  64. Reactions’ Descriptors Selection and Yield Estimation Using Metaheuristic Algorithms and Voting Ensemble
  65. Multiobjective Genome-Wide RNA-Binding Event Identification From CLIP-Seq Data
  66. EGFI: drug–drug interaction extraction and generation with fusion of enriched entity and sentence information
  67. Categorical Matrix Completion With Active Learning for High-Throughput Screening
  68. Evolving Multiobjective Cancer Subtype Diagnosis From Cancer Gene Expression Data
  69. Evolving Transcriptomic Profiles From Single-Cell RNA-Seq Data Using Nature-Inspired Multiobjective Optimization
  70. Finding core–periphery structures in large networks
  71. Transmission trend of the COVID-19 pandemic predicted by dendritic neural regression
  72. EDCNN: identification of genome-wide RNA-binding proteins using evolutionary deep convolutional neural network
  73. High-throughput single-cell RNA-seq data imputation and characterization with surrogate-assisted automated deep learning
  74. DeepMotifSyn: a deep learning approach to synthesize heterodimeric DNA motifs
  75. Accurate Sequence-Based Prediction of Deleterious nsSNPs with Multiple Sequence Profiles and Putative Binding Residues
  76. Nature-Inspired Compressed Sensing for Transcriptomic Profiling From Random Composite Measurements
  77. iDeepSubMito: identification of protein submitochondrial localization with deep learning
  78. Machine Learning Protocols in Early Cancer Detection Based on Liquid Biopsy: A Survey
  79. Human host status inference from temporal microbiome changes via recurrent neural networks
  80. Elucidating transcriptomic profiles from single-cell RNA sequencing data using nature-inspired compressed sensing
  81. Feature Selection and Feature Extraction: Highlights
  82. Early cancer detection from genome-wide cell-free DNA fragmentation via shuffled frog leaping algorithm and support vector machine
  83. Deep embedded clustering with multiple objectives on scRNA-seq data
  84. Noninvasive early diagnosis of intestinal diseases based on artificial intelligence in genomics and microbiome
  85. Future DNA computing device and accompanied tool stack: Towards high-throughput computation
  86. A novel surrogate-assisted evolutionary algorithm with an uncertainty grouping based infill criterion
  87. Decomposition-based multiobjective optimization with bicriteria assisted adaptive operator selection
  88. CancerEMC: frontline non-invasive cancer screening from circulating protein biomarkers and mutations in cell-free DNA
  89. Identification of haploinsufficient genes from epigenomic data using deep forest
  90. A Belief Degree–Associated Fuzzy Multifactor Dimensionality Reduction Framework for Epistasis Detection
  91. Analyzing High-Order Epistasis from Genotype-Phenotype Maps Using ‘Epistasis’ Package
  92. Epistasis Analysis: Classification Through Machine Learning Methods
  93. Epistasis Detection Based on Epi-GTBN
  94. Epistasis
  95. Metric Learning Based Vision Transformer for Product Matching
  96. Protocol for Epistasis Detection with Machine Learning Using GenEpi Package
  97. iCircRBP-DHN: identification of circRNA-RBP interaction sites using deep hierarchical network
  98. Identification of pan-cancer Ras pathway activation with deep learning
  99. EDITORIAL: Special Issue of 2018 India International Congress on Computational Intelligence
  100. Nature-inspired multiobjective patient stratification from cancer gene expression data
  101. RNCE: network integration with reciprocal neighbors contextual encoding for multi-modal drug community study on cancer targets
  102. CRISPR‐Net: A Recurrent Convolutional Network Quantifies CRISPR Off‐Target Activities with Mismatches and Indels
  103. Special issue of 2017 India International Congress on Computational Intelligence
  104. Uncovering the key dimensions of high-throughput biomolecular data using deep learning
  105. Deleterious Non-Synonymous Single Nucleotide Polymorphism Predictions on Human Transcription Factors
  106. GESgnExt: Gene Expression Signature Extraction and Meta-Analysis on Gene Expression Omnibus
  107. DNA Sequencing Technologies
  108. Context awareness and embedding for biomedical event extraction
  109. An Effective Ensemble Framework for Multiobjective Optimization
  110. A novel multi-objective evolutionary algorithm with dynamic decomposition strategy
  111. Deep Learning Resolves Representative Movement Patterns in a Marine Predator Species
  112. A Clustering-Based Evolutionary Algorithm for Many-Objective Optimization Problems
  113. Early Cancer Detection from Multianalyte Blood Test Results
  114. PathEmb: Random Walk Based Document Embedding for Global Pathway Similarity Search
  115. Evolutionary Multiobjective Clustering and Its Applications to Patient Stratification
  116. Big data challenges in genome informatics
  117. Single-Cell RNA Sequencing Data Interpretation by Evolutionary Multiobjective Clustering
  118. Elucidating Genome-Wide Protein-RNA Interactions Using Differential Evolution
  119. ToBio: Global Pathway Similarity Search Based on Topological and Biological Features
  120. Nature-Inspired Multiobjective Cancer Subtype Diagnosis
  121. Single-cell RNA-seq interpretations using evolutionary multiobjective ensemble pruning
  122. Heterodimeric DNA motif synthesis and validations
  123. A novel semi-supervised model for miRNA-disease association prediction based on $$\ell_{1}$$ ℓ 1 -norm graph
  124. An Improved Neural Network Cascade for Face Detection in Large Scene Surveillance
  125. DNA Motif Recognition Modeling from Protein Sequences
  126. Multiobjective Patient Stratification Using Evolutionary Multiobjective Optimization
  127. Off-target predictions in CRISPR-Cas9 gene editing using deep learning
  128. Synergizing CRISPR/Cas9 off-target predictions for ensemble insights and practical applications
  129. Special issue: the International Conference on Soft Computing and Machine Intelligence
  130. A Diversity-Enhanced Resource Allocation Strategy for Decomposition-Based Multiobjective Evolutionary Algorithm
  131. A Comparative Study for Identifying the Chromosome-Wide Spatial Clusters from High-Throughput Chromatin Conformation Capture Data
  132. Zinc-finger protein 471 suppresses gastric cancer through transcriptionally repressing downstream oncogenic PLS3 and TFAP2A
  133. Increased expression of GATA zinc finger domain containing 1 through gene amplification promotes liver cancer by directly inducing phosphatase of regenerating liver 3
  134. Verbal aggression detection on Twitter comments: convolutional neural network for short-text sentiment analysis
  135. An adaptive immune-inspired multi-objective algorithm with multiple differential evolution strategies
  136. Particle Swarm Optimization With a Balanceable Fitness Estimation for Many-Objective Optimization Problems
  137. Nature-Inspired Multiobjective Epistasis Elucidation from Genome-Wide Association Studies
  138. Adaptive multiple-elites-guided composite differential evolution algorithm with a shift mechanism
  139. A scalable community detection algorithm for large graphs using stochastic block models
  140. A novel artificial bee colony algorithm with an adaptive population size for numerical function optimization
  141. Evolving Spatial Clusters of Genomic Regions From High-Throughput Chromatin Conformation Capture Data
  142. An External Archive-Guided Multiobjective Particle Swarm Optimization Algorithm
  143. Elucidating high-dimensional cancer hallmark annotation via enriched ontology
  144. MotifHyades: expectation maximization for de novo DNA motif pair discovery on paired sequences
  145. Evolving Transcription Factor Binding Site Models From Protein Binding Microarray Data
  146. NSSRF: global network similarity search with subgraph signatures and its applications
  147. Probabilistic Inference on Multiple Normalized Genome-Wide Signal Profiles With Model Regularization
  148. A Comparison Study for DNA Motif Modeling on Protein Binding Microarray
  149. Unsupervised Learning in Genome Informatics
  150. A Novel Approach to Predict Core Residues on Cancer-Related DNA-Binding Domains
  151. Big Data Analytics in Genomics
  152. Computational learning on specificity-determining residue-nucleotide interactions
  153. Probabilistic Inference on Multiple Normalized Signal Profiles from Next Generation Sequencing: Transcription Factor Binding Sites
  154. A Short Survey on Data Clustering Algorithms
  155. Data Analytics for Protein-DNA Binding Interactions
  156. Identification of coupling DNA motif pairs on long-range chromatin interactions in human K562 cells
  157. Exploring Mixed Membership Stochastic Block Models via Non-negative Matrix Factorization
  158. Herd Clustering: A synergistic data clustering approach using collective intelligence
  159. New Tricks for “Old” Domains: How Novel Architectures and Promiscuous Hubs Contributed to the Organization and Evolution of the ECM
  160. SignalSpider: probabilistic pattern discovery on multiple normalized ChIP-Seq signal profiles
  161. Mirsynergy: detecting synergistic miRNA regulatory modules by overlapping neighbourhood expansion
  162. Inferring probabilistic miRNA–mRNA interaction signatures in cancers: a role-switch approach
  163. SNPdryad: predicting deleterious non-synonymous human SNPs using only orthologous protein sequences
  164. A probabilistic approach to explore human miRNA targetome by integrating miRNA-overexpression data and sequence information
  165. DNA motif elucidation using belief propagation
  166. Multiplicative Algorithms for Constrained Non-negative Matrix Factorization
  167. Evolutionary multimodal optimization using the principle of locality
  168. SECOM: A Novel Hash Seed and Community Detection Based-Approach for Genome-Scale Protein Domain Identification
  169. Collective Human Mobility Pattern from Taxi Trips in Urban Area
  170. A novel web-based system for tropical cyclone analysis and prediction
  171. Generalizing and learning protein-DNA binding sequence representations by an evolutionary algorithm
  172. Discovering approximate-associated sequence patterns for protein–DNA interactions
  173. Protein structure prediction on a lattice model via multimodal optimization techniques
  174. Discovering protein–DNA binding sequence patterns using association rule mining
  175. An evolutionary algorithm with species-specific explosion for multimodal optimization
  176. Evolutionary Algorithms