Cover Image

SAE-RNA: A Sparse Autoencoder Model for Interpreting RNA Language Model Representations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kim, Taehan, Nam, Sangdae
Format:	Preprint
Published:	2025
Subjects:	Biomolecules Artificial Intelligence Genomics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations
by: Bini, Lorenzo, et al.
Published: (2025)

RNA-GPT: Multimodal Generative System for RNA Sequence Understanding
by: Xiao, Yijia, et al.
Published: (2024)

Foundation Models for AI-Enabled Biological Design
by: Moldwin, Asher, et al.
Published: (2025)

RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design
by: Anand, Rishabh, et al.
Published: (2024)

Towards Parsimonious Generative Modeling of RNA Families
by: Calvanese, Francesco, et al.
Published: (2023)

Missing-Modality-Aware Graph Neural Network for Cancer Classification
by: Tabakhi, Sina, et al.
Published: (2025)

A versatile informative diffusion model for single-cell ATAC-seq data generation and analysis
by: Huang, Lei, et al.
Published: (2024)

Refining Platelet Purification Methods: Enhancing Proteomics for Clinical Applications
by: Markhus, Vibecke, et al.
Published: (2025)

Pan-genome Analysis of Angiosperm Plastomes using PGR-TK
by: Samanta, Manoj P.
Published: (2025)

DNA energy constraints shape biological evolutionary trajectories
by: Fariselli, Piero, et al.
Published: (2019)

Pseudo-perplexity in One Fell Swoop for Protein Fitness Estimation
by: Kantroo, Pranav, et al.
Published: (2024)

PASS: De novo assembler for short peptide sequences
by: Warren, René L.
Published: (2022)

scInterpreter: Training Large Language Models to Interpret scRNA-seq Data for Cell Type Annotation
by: Li, Cong, et al.
Published: (2024)

Towards Interpretable Protein Structure Prediction with Sparse Autoencoders
by: Parsan, Nithin, et al.
Published: (2025)

InterPLM: Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders
by: Simon, Elana, et al.
Published: (2024)

Helix-mRNA: A Hybrid Foundation Model For Full Sequence mRNA Therapeutics
by: Wood, Matthew, et al.
Published: (2025)

Pesti-Gen: Unleashing a Generative Molecule Approach for Toxicity Aware Pesticide Design
by: Kim, Taehan, et al.
Published: (2025)

Static Three-Dimensional Structures Determine Fast Dynamics Between Distal Loci Pairs in Interphase Chromosomes
by: Shi, Guang, et al.
Published: (2025)

The optimization of crop response to climatic stress through modulation of plant stress response mechanisms. Opportunities for biostimulants and plant hormones to meet climate challenges
by: Li, Jing, et al.
Published: (2025)

Multimodal Spatial Omics: From Data Acquisition to Computational Integration
by: Isik, Esra Busra, et al.
Published: (2026)

In vitro binding energies capture Klf4 occupancy across the human genome
by: Schwager, Anne, et al.
Published: (2026)

High nucleotide skew palindromic DNA sequences function as replication origins due to their unzipping propensity
by: Sahu, Parthasarathi, et al.
Published: (2024)

BeeRNA: tertiary structure-based RNA inverse folding using Artificial Bee Colony
by: Mlaweh, Mehyar, et al.
Published: (2025)

scReader: Prompting Large Language Models to Interpret scRNA-seq Data
by: Li, Cong, et al.
Published: (2024)

Structural Interpretations of Protein Language Model Representations via Differentiable Graph Partitioning
by: Dutta, Siddhant, et al.
Published: (2026)

RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design
by: Tan, Cheng, et al.
Published: (2023)

RNA Secondary Structure Prediction Using Transformer-Based Deep Learning Models
by: Zhou, Yanlin, et al.
Published: (2024)

On-Chip and Off-Chip TIA Amplifiers for Nanopore Signal Readout Design, Performance and Challenges: A Review
by: Deepthi, K. Ashoka, et al.
Published: (2025)

Kirigami: large convolutional kernels improve deep learning-based RNA secondary structure prediction
by: Harary, Marc, et al.
Published: (2024)

SeqMate: A Novel Large Language Model Pipeline for Automating RNA Sequencing
by: Mondal, Devam, et al.
Published: (2024)

MicroFuse: Protein-to-Genome Expert Fusion for Microbial Operon Reasoning
by: Cho, Seungik
Published: (2026)

Heterogeneous graph attention network improves cancer multiomics integration
by: Tabakhi, Sina, et al.
Published: (2024)

Graph Representation Learning in Biomedicine
by: Li, Michelle M., et al.
Published: (2021)

BAnG: Bidirectional Anchored Generation for Conditional RNA Design
by: Klypa, Roman, et al.
Published: (2025)

Sampling-based Continuous Optimization with Coupled Variables for RNA Design
by: Tang, Wei Yu, et al.
Published: (2024)

scSiameseClu: A Siamese Clustering Framework for Interpreting single-cell RNA Sequencing Data
by: Xu, Ping, et al.
Published: (2025)

Character-level Tokenizations as Powerful Inductive Biases for RNA Foundational Models
by: Morales-Pastor, Adrián, et al.
Published: (2024)

scBench: Evaluating AI Agents on Single-Cell RNA-seq Analysis
by: Workman, Kenny, et al.
Published: (2026)

Multimodal Alignment and Preference Optimization for Zero-Shot Conditional RNA Generation
by: Klypa, Roman, et al.
Published: (2026)

Messenger RNA Design via Expected Partition Function and Continuous Optimization
by: Dai, Ning, et al.
Published: (2023)