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20222026
most citedFGBERT: Function-Driven Pre-trained Gene Language Model for Metagenomics

5 citations · 9 across the 13 of their papers we have counts for

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7 papers · 1 filter

cs.LG2026

Tool-Augmented On-Policy Distillation for LLM Domain Adaptation in Sequence-Based Omics Tasks

Jie Ying, Zhefan Wang, Zihong Chen +11

Multi-omics sequences contain complex biological patterns, yet deciphering their mechanisms for automated scientific discovery remains challenging. As large language models (LLMs)…

cs.LG2026

BioM-JEPA: joint-embedding prediction of graph-connected gene blocks in single cells

Yuhao Wang, Zelin Zang, Yuxuan Liu +2

Single-cell transcriptomes are sparse observations of coordinated biological programmes, yet most self-supervised models learn by reconstructing individual genes. Here we present B…

cs.LG2026

ViroBench: Benchmarking Nucleotide Foundation Models on Viral Genomics Tasks

Dongxin Ye, Fang Hu, Han Hu +6

Nucleotide sequences constitute the fundamental genetic basis of biological systems, rendering viral genomic analysis critical for biomedical advancement. Despite progress in biolo…

cs.LG2026

scHelix: Asymmetric Dual-Stream Integration via Explicit Gene-Level Disentanglement

Xichen Yan, Zelin Zang, Changxi Chi +8

A critical challenge in single-cell RNA sequencing (scRNA-seq) integration is resolving the tension between eliminating batch effects and maintaining biological fidelity. While rec…

cs.LG2025

Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling

Mengran Li, Zelin Zang, Wenbin Xing +4

Understanding how chemical perturbations propagate through biological systems is essential for robust molecular property prediction. While most existing methods focus on chemical s…

cs.LG2024★ 1 cited

Set-CLIP: Exploring Aligned Semantic From Low-Alignment Multimodal Data Through A Distribution View

Zijia Song, Zelin Zang, Yelin Wang +5

Multimodal fusion breaks through the boundaries between diverse modalities and has already achieved notable performances. However, in many specialized fields, it is struggling to o…