Research map / Label-efficient and robust learning / Self-supervised and contrastive
mRNABench: A curated benchmark for mature mRNA property and function prediction
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's abstract only. Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Introduces mRNABench, a curated benchmark for predicting mature mRNA properties and functions (half-life, localization, translation efficiency) to standardize evaluation of mRNA foundation models.
Problem
Mature mRNA property prediction (half-life, localization, translation efficiency) lacks standardized benchmarks, making it hard to compare self-supervised mRNA foundation models.
Approach
A curated benchmark suite of mature mRNA property and function prediction tasks to evaluate and compare supervised and self-supervised mRNA models on transfer learning.
Experimental setup
Benchmarks: mRNABench
Closest papers by meaning
- HELM: Hierarchical Encoding for mRNA Language Modeling (ICLR 2025 · similarity 0.89)
- BEACON: Benchmark for Comprehensive RNA Tasks and Language Models (NeurIPS 2024 · similarity 0.88)
- $\texttt{RNAGenScape}$: property-guided, optimized generation of mRNA sequences with manifold Langevin dynamics (NeurIPS 2026 · similarity 0.86)
- BEND: Benchmarking DNA Language Models on Biologically Meaningful Tasks (ICLR 2024 · similarity 0.86)
- A Simple and Comprehensive Benchmark for Single-Cell Transcriptomics (AAAI 2025 · similarity 0.86)
- Training Compute-Optimal Protein Language Models (NeurIPS 2024 · similarity 0.85)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
