强化学习数据 - - 获取监管网络因果推理的数据
1Department of Electrical and Computer Engineering at Northeastern University.
概括
这项研究引入了一种新的强化学习方法,以优化基因扰动策略,以实现更准确的基因调节网络 (GRN) 建模. 该方法通过智能选择干扰来提高推断准确度,克服现有技术的局限性.
科学领域:
- 系统生物学 系统生物学
- 计算生物学 计算生物学
- 基因组学就是基因组学.
背景情况:
- 基因调节网络 (GRNs) 对细胞过程至关重要,但由于数据限制和相互作用不确定性,它们的模型复杂.
- 从正常条件推断基因相互作用往往是不可行的,需要实验性干扰.
研究的目的:
- 开发一个最佳的贝叶斯框架,用于在GRN模型中采集使用扰动的数据.
- 通过使用强化学习来选择最佳干扰来解决网络不确定性.
主要方法:
- 模拟的GRNs使用带扰的布尔网络来表示未知的相互作用.
- 制定数据采集作为强化学习问题,以干扰为动作,推断精度改进为奖励.
- 开发了一种半梯度增强学习方法,用于政策学习.
主要成果:
- 在推断监管网络模型中实现了近乎精确的贝叶斯优化.
- 证明了框架在p53-Mdm2负反循环GRN上的有效性.
- 通过规划实现线下政策学习.
结论:
- 拟议的强化学习框架为GRN推理中的实验设计提供了一个近乎最佳的策略.
- 这种方法显著提高了复杂生物系统建模的准确性和效率.
- 该方法为处理基因调节相互作用的不确定性提供了强大的解决方案.
相关概念视频
Causality in Epidemiology
477
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
477
Neural Regulation
39.5K
Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
39.5K
Cognitive Learning
424
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
424
Observational Learning
210
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
210
Global Regulatory Systems
44
Global regulatory systems in bacteria enable rapid and coordinated responses to environmental changes by integrating sensory inputs with gene expression, ensuring efficient adaptation to fluctuating conditions. Key global regulatory mechanisms include regulons, two-component systems, sigma factors, and secondary messengers.Regulons and Global RegulatorsA regulon is a collection of genes and operons controlled by a common global regulator. These regulators enable bacteria to prioritize resource...
44
Cis-regulatory Sequences
9.9K
Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
9.9K


