相关实验视频
Updated: May 31, 2026
09:16
FIBS-enabled Noninvasive Metabolic Profiling
Published on: February 3, 2014
10.0K
FR-BINN:用于增强生物标志物发现和途径分析的生物信息神经网络
Yangkun Cao1, Chaoyi Yin1, Xinsen Zhou1
1School of Artificial Intelligence, Jilin University, Changchun 130012, China.
International journal of molecular sciences
|July 29, 2025
概括
这项研究引入了FR-BINN,这是一种新的AI框架,可以识别关键基因和生物学模式,区分促进癌症的慢性炎症与非促进癌症的类型,帮助发现生物标志物.
科学领域:
- 生物医学信息学 生物医学信息学
- 计算生物学 计算生物学
- 癌症研究 癌症研究
背景情况:
- 慢性炎症与癌症风险有关,但癌症易发性和非癌症易发性炎症疾病之间的分子差异尚不清楚.
- 了解这些差异对于制定有针对性的癌症预防和治疗策略至关重要.
研究的目的:
- 开发一个生物信息神经网络 (FR-BINN),用于预测疾病结果和解释慢性炎症疾病中的分子机制.
- 确定关键基因和与慢性炎症癌症风险相关的生物途径.
主要方法:
- 开发了FR-BINN,一个神经网络,结合了与芬顿反应 (FR) 相关的生物先验.
- 利用多种可解释性方法和大型语言模型进行基因识别和生物标志物发现.
- 使用独立数据集和分析能量代谢,氧化应激和pH调节模式的验证结果.
主要成果:
- FR-BINN 展示了卓越的分类性能,并提供了生物学上可解释的见解.
- 在不同的可解释的人工智能技术中观察到高一致性,揭示了易患癌症与非易患癌症疾病的不同模式.
- 确定了与癌症易感性相关的NCOA1和SDHB等基因,并突出了能量代谢,氧化应激和pH调节的差异.
结论:
- FR-BINN有效地区分易患癌症的慢性炎症疾病和易患癌症的慢性炎症疾病,提供了宝贵的生物学见解.
- 该框架有助于识别潜在的生物标志物和炎症相关瘤发生的治疗标.
- 独特的代谢和氧化应激模式是这些疾病类别之间的关键差异化因素.
相关概念视频
02:26Protein Networks
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
02:26Protein Networks
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...