Correction: A guide to bayesian networks software for structure and parameter learning, with a focus on causal discovery tools [0.03%]
订正：结构和参数学习的贝叶斯网络软件指南以及因果发现工具:focus
Francesco Canonaco,Joverlyn Gaudillo,Nicole Astrologo et al.
Francesco Canonaco et al.
[This corrects the article DOI: 10.3389/fsysb.2025.1631901.]. Keywords: bayesian networks (BNs); causal disc...
Published Erratum
Frontiers in systems biology. 2025 Oct 23:5:1717030. DOI:10.3389/fsysb.2025.1717030 2025
Structural properties and asymptotic behavior of bacterial two-component systems [0.03%]
细菌两成分系统的结构特征及其渐近行为分析
Irene Zorzan,Chiara Cimolato,Luca Schenato et al.
Irene Zorzan et al.
Bacteria rely on two-component signaling systems (TCSs) to detect environmental cues and orchestrate adaptive responses. Despite their apparent simplicity, TCSs exhibit a rich spectrum of dynamic behaviors arising from network architectures...
Dietary composition and fasting regimens differentially impact the gut microbiome and short-chain fatty acid profile in a Pakistani cohort [0.03%]
膳食组成和禁食模式对巴基斯坦人群中肠道微生物组及短链脂肪酸谱的差异化影响
Farzana Gul,Hilde Herrema,Aqsa Ameer et al.
Farzana Gul et al.
Purpose: Fasting is known to have beneficial effects on human physiology and health due to changes in gut microbiota and its associated metabolites. We investigated the effects of intermittent and Ramadan fasting on the g...
Aging and activity patterns: actigraphy evidence from NHANES studies [0.03%]
年龄与活动模式：来自NHANES研究的计步证据
Wen Luo,Matthew T Scharf,Ioannis P Androulakis
Wen Luo
Study objectives: This study examines age-related variations in activity patterns using actigraphy data from the National Health and Nutrition Examination Survey (NHANES). By analyzing sleep onset, wake times, and daily a...
GETgene-AI: a framework for prioritizing actionable cancer drug targets [0.03%]
GETgene-AI：一个用于优先确定可操作的癌症药物靶点的框架
Adrian Gu,Jake Y Chen
Adrian Gu
Prioritizing actionable drug targets is a critical challenge in cancer research, where high-dimensional genomic data and the complexity of tumor biology often hinder effective prioritization. To address this, we developed GETgene-AI, a nove...
Digital patient modeling identifies predictive biomarkers of regorafenib response in elderly metastatic colorectal cancer [0.03%]
数字患者建模鉴定出老年转移性结直肠癌患者的雷戈菲尼应答预测生物标志物
Juan Manuel García-Illarramendi,Pedro Matos-Filipe,Jose Manuel Mas et al.
Juan Manuel García-Illarramendi et al.
In silico clinical trials that simulate individualized mechanisms of action offer a powerful approach to assess drug efficacy across large and diverse patient populations, while also enabling the identification of predictive biomarkers. In ...
Bridging academia and industry: advancing systems biology and QSP education through AstraZeneca's collaborative partnerships [0.03%]
产学研结合：通过阿斯利康的合作关系推进系统生物学和QSP教育
Cesar Pichardo-Almarza,Holly Kimko
Cesar Pichardo-Almarza
Collaborations between industry leaders and academia are crucial for advancing systems biology education and training. This article explores opportunities for partnerships to enhance the educational landscape and develop a workforce skilled...
MicrobiomeKG: bridging microbiome research and host health through knowledge graphs [0.03%]
MicrobiomeKG：通过知识图谱连接微生物组研究和宿主健康
Skye L Goetz,Amy K Glen,Gwênlyn Glusman
Skye L Goetz
The microbiome represents a complex community of trillions of microorganisms residing in various body parts and plays critical roles in maintaining host health and wellbeing. Understanding the interactions between microbiota and their host ...
A guide to bayesian networks software for structure and parameter learning, with a focus on causal discovery tools [0.03%]
结构和参数学习的贝叶斯网络软件指南以及因果发现工具:focus
Francesco Canonaco,Joverlyn Gaudillo,Nicole Astrologo et al.
Francesco Canonaco et al.
A representation of the cause-effect mechanism is needed to enable artificial intelligence to represent how the world works. Bayesian Networks (BNs) have proven to be an effective and versatile tool for this task. BNs require constructing a...
Andreas Kremling
Andreas Kremling
Mathematical models for cellular systems have become more and more important for understanding the complex interplay between metabolism, signalling, and gene expression.In this manuscript, starting from the well-known flux balance analysis,...