All Stories

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