dna sequence

FedDNA: DNA Sequence Reconstruction via Deep Evidential Learning and Personalized Federated Aggregation AAAI 2026 MergeDNA: Context-Aware Genome Modeling with Dynamic Tokenization Through Token Merging AAAI 2026 TrinityDNA: A Bio-Inspired Foundational Model for Efficient Long-Sequence DNA Modeling AAAI 2026 Biological Sequence Kernels with Guaranteed Flexibility JMLR 2025 Can Large Language Models Classify and Generate Antimicrobial Resistance Genes? ACL 2025 Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design ICLR 2025 GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype IJCAI 2025 Learning to Discover Regulatory Elements for Gene Expression Prediction ICLR 2025 Revisiting Convolution Architecture in the Realm of DNA Foundation Models ICLR 2025 Absorb & Escape: Overcoming Single Model Limitations in Generating Heterogeneous Genomic Sequences NeurIPS 2024 BEND: Benchmarking DNA Language Models on Biologically Meaningful Tasks ICLR 2024 Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA NeurIPS 2024 Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning NeurIPS 2024 HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution NeurIPS 2023 Deep Squared Euclidean Approximation to the Levenshtein Distance for DNA Storage ICML 2022 Reverse-Complement Equivariant Networks for DNA Sequences NeurIPS 2021 An image representation based convolutional network for DNA classification ICLR 2018 Clustering sequence sets for motif discovery NeurIPS 2009