MEMMAL: A tool for expanding large-scale mechanistic models with machine learned associations and big datasets [0.03%]
MEMMAL：一种利用机器学习关联和大数据扩展大规模机制模型的工具
Cemal Erdem,Marc R Birtwistle
Cemal Erdem
Computational models that can explain and predict complex sub-cellular, cellular, and tissue-level drug response mechanisms could speed drug discovery and prioritize patient-specific treatments (i.e., precision medicine). Some models are me...
Understanding multimorbidity requires sign-disease networks and higher-order interactions, a perspective [0.03%]
理解多发病需要信号-疾病网络和高阶相互作用的观点
Cillian Hourican,Geeske Peeters,René Melis et al.
Cillian Hourican et al.
Background: Count scores, disease clustering, and pairwise associations between diseases remain ubiquitous in multimorbidity research despite two major shortcomings: they yield no insight into plausible mechanisms underly...
Leveraging Systems Immunology to Optimize Diagnosis and Treatment of Inborn Errors of Immunity [0.03%]
利用系统免疫学优化先天性免疫缺陷疾病的诊断和治疗
Andrea A Mauracher,Sarah E Henrickson
Andrea A Mauracher
Inborn errors of immunity (IEI) are monogenic disorders that can cause diverse symptoms, including recurrent infections, autoimmunity and malignancy. While many factors have contributed, the increased availability of next-generation sequenc...
Alzheimer's Disease Protein Relevance Analysis Using Human and Mouse Model Proteomics Data [0.03%]
利用人类和小鼠模型蛋白质组学数据进行阿尔茨海默病蛋白相关性分析
Cathy Shi,W Kirby Gottschalk,Carol A Colton et al.
Cathy Shi et al.
The principles governing genotype-phenotype relationships are still emerging(1-3), and detailed translational as well as transcriptomic information is required to understand complex phenotypes, such as the pathogenesis of Alzheimer's diseas...
From Seeing to Simulating: A Survey of Imaging Techniques and Spatially-Resolved Data for Developing Multiscale Computational Models of Liver Regeneration [0.03%]
从观察到模拟：肝再生多尺度计算模型的成像技术和空间解析数据调研
Aalap Verma,Alexandra Manchel,Justin Melunis et al.
Aalap Verma et al.
Liver regeneration, which leads to the re-establishment of organ mass, follows a specifically organized set of biological processes acting on various time and length scales. Computational models of liver regeneration largely focused on inco...
Decrypting the complexity of the human malaria parasite biology through systems biology approaches [0.03%]
通过系统生物学方法解密人类疟原虫生物学的复杂性
Zeinab Chahine,Karine G Le Roch
Zeinab Chahine
The human malaria parasite, Plasmodium falciparum, is a unicellular protozoan responsible for over half a million deaths annually. With a complex life cycle alternating between human and invertebrate hosts, this apicomplexan is notoriously ...
Batch Correction and Harmonization of -Omics Datasets with a Tunable Median Polish of Ratio [0.03%]
利用可调比值中位多项式进行批处理校正和多组学数据集的标准化
Eric B Dammer,Nicholas T Seyfried,Erik C B Johnson
Eric B Dammer
Large scale -omics datasets can provide new insights into normal and disease-related biology when analyzed through a systems biology framework. However, technical artefacts present in most -omics datasets due to variations in sample prepara...
Model Integration in Computational Biology: The Role of Reproducibility, Credibility and Utility [0.03%]
计算生物学中的模型整合：可重复性、可信度及实用性的角色
Jonathan Karr,Rahuman S Malik-Sheriff,James Osborne et al.
Jonathan Karr et al.
During the COVID-19 pandemic, mathematical modeling of disease transmission has become a cornerstone of key state decisions. To advance the state-of-the-art host viral modeling to handle future pandemics, many scientists working on related ...
Teaching computational systems biology with an eye on quantitative systems pharmacology at the undergraduate level: Why do it, who would take it, and what should we teach? [0.03%]
从本科教育的角度教授计算系统生物学并着眼于定量药物系统学：为什么要这样做，谁会参加以及我们应该教什么？
Ioannis P Androulakis
Ioannis P Androulakis
Computational systems biology (CSB) is a field that emerged primarily as the product of research activities. As such, it grew in several directions in a distributed and uncoordinated manner making the area appealing and fascinating. The ide...
Computational design of custom therapeutic cells to correct failing human cardiomyocytes [0.03%]
计算设计定制治疗细胞以纠正人类心肌细胞的功能障碍
Andrew Tieu,Katherine G Phillips,Kevin D Costa et al.
Andrew Tieu et al.
Background: Myocardial delivery of non-excitable cells-namely human mesenchymal stem cells (hMSCs) and c-kit+ cardiac interstitial cells (hCICs)-remains a promising approach for treating the failing heart. Recent empirica...