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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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Showing 2024Show all

6 papers · 1 filter

q-bio.PE2024★ 2 cited

A Review of BioTree Construction in the Context of Information Fusion: Priors, Methods, Applications and Trends

Zelin Zang, Yongjie Xu, Chenrui Duan +4

Biological tree (BioTree) analysis is a foundational tool in biology, enabling the exploration of evolutionary and differentiation relationships among organisms, genes, and cells.…

cs.CL2024★ 1 cited

BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical Science

Xinna Lin, Siqi Ma, Junjie Shan +5

Pursuing artificial intelligence for biomedical science, a.k.a. AI Scientist, draws increasing attention, where one common approach is to build a copilot agent driven by Large Lang…

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…

q-bio.GN2024★ 5 cited

FGBERT: Function-Driven Pre-trained Gene Language Model for Metagenomics

ChenRui Duan, Zelin Zang, Yongjie Xu +6

Metagenomic data, comprising mixed multi-species genomes, are prevalent in diverse environments like oceans and soils, significantly impacting human health and ecological functions…

cs.CE2024

Must: Maximizing Latent Capacity of Spatial Transcriptomics Data

Zelin Zang, Liangyu Li, Yongjie Xu +5

Spatial transcriptomics (ST) technologies have revolutionized the study of gene expression patterns in tissues by providing multimodality data in transcriptomic, spatial, and morph…

q-bio.BM2024

Deep Manifold Transformation for Protein Representation Learning

Bozhen Hu, Zelin Zang, Cheng Tan +1

Protein representation learning is critical in various tasks in biology, such as drug design and protein structure or function prediction, which has primarily benefited from protei…