Authors: Qing Li, Zhihang Hu, Yixuan Wang, Lei Li, Yimin Fan, Irwin King, Le Song, Yu Li

Published on: February 06, 2024

Impact Score: 8.15

Arxiv code: Arxiv:2402.04286

Summary

• What is new: The integration of foundation models (FMs) in bioinformatics represents a significant advancement, addressing challenges like data scarcity and noise.
• Why this is important: Historical challenges in bioinformatics include the scarcity of annotated data and the presence of data noise.
• What the research proposes: Adopting foundation models (FMs) that excel in handling large-scale, unlabeled data, thus effectively representing biological entities and performing various validation tasks.
• Results: FMs have achieved notable results in bioinformatics, especially in sequence analysis, structure prediction, function annotation, and multimodal integration.

Technical Details

Technological frameworks used: Foundation Models

Models used: nan

Data used: Large-scale, unlabeled biological data

Potential Impact

Bioinformatics companies, healthcare research firms, pharmaceutical industries

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