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Shaoqing Jiao

3 accepted papers

2026

CellAgent: LLM-Driven Multi-Agent Framework for Natural Language-Based Single-Cell Analysis

ICLR 2026poster

Single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) data analysis are pivotal for advancing biological research, enabling precise characterization of cellular heterogeneity. However, existing analysis approaches require extensive manual programming and complex tool integration, p…

Cited by 0SourcecodeScholar
2025

SWAMamba: A Sliding Window Attention Mamba Framework for Predicting Translation Elongation Rates

AAAI 2025technical

Translation elongation is essential for cellular proteostasis and is implicated in cancer and neurodegeneration. Accurately predicting the rate of ribosome elongation in each codon (also called ribosomal A site) on mRNA is important for understanding and modulating protein synthesis. However, predic…

2024

Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning

AAAI 2024technical

Designing novel biological sequences with desired properties is a significant challenge in biological science because of the extra large search space. The traditional design process usually involves multiple rounds of costly wet lab evaluations. To reduce the need for expensive wet lab experiments,…