Sophia M Guldberg,Trine Line Hauge Okholm,Elizabeth E McCarthy et al.
Sophia M Guldberg et al.
Advances in single-cell proteomics technologies have resulted in high-dimensional datasets comprising millions of cells that are capable of answering key questions about biology and disease. The advent of these technologies has prompted the...
Developing and Implementing Predictive Models in a Learning Healthcare System: Traditional and Artificial Intelligence Approaches in the Veterans Health Administration [0.03%]
学习型卫生体系中预测模型的开发和实施：退伍军人健康管理局的传统和人工智能方法
David Atkins,Christos A Makridis,Gil Alterovitz et al.
David Atkins et al.
Predicting clinical risk is an important part of healthcare and can inform decisions about treatments, preventive interventions, and provision of extra services. The field of predictive models has been revolutionized over the past two decad...
Discovering Biological Conflict Systems Through Genome Analysis: Evolutionary Principles and Biochemical Novelty [0.03%]
通过基因组分析发现生物冲突系统：进化原则和生化新颖性
L Aravind,Lakshminarayan M Iyer,A Maxwell Burroughs
L Aravind
Biological replicators, from genes within a genome to whole organisms, are locked in conflicts. Comparative genomics has revealed a staggering diversity of molecular armaments and mechanisms regulating their deployment, collectively termed ...
Importance of Including Non-European Populations in Large Human Genetic Studies to Enhance Precision Medicine [0.03%]
包含非欧洲人群以增强精准医疗推进大规模人类遗传学研究的重要性
Dan Ju,Daniel Hui,Dorothy A Hammond et al.
Dan Ju et al.
One goal of genomic medicine is to uncover an individual's genetic risk for disease, which generally requires data connecting genotype to phenotype, as done in genome-wide association studies (GWAS). While there may be clinical promise to e...
The Cell Physiome: What Do We Need in a Computational Physiology Framework for Predicting Single-Cell Biology? [0.03%]
细胞生理组学：预测单细胞生物学需要一个计算生理框架提供哪些信息？
Vijay Rajagopal,Senthil Arumugam,Peter J Hunter et al.
Vijay Rajagopal et al.
Modern biology and biomedicine are undergoing a big data explosion, needing advanced computational algorithms to extract mechanistic insights on the physiological state of living cells. We present the motivation for the Cell Physiome Projec...
Challenges and Opportunities for Developing More Generalizable Polygenic Risk Scores [0.03%]
更具普遍适用性的多基因风险评分的挑战与机遇
Ying Wang,Kristin Tsuo,Masahiro Kanai et al.
Ying Wang et al.
Polygenic risk scores (PRS) estimate an individual's genetic likelihood of complex traits and diseases by aggregating information across multiple genetic variants identified from genome-wide association studies. PRS can predict a broad spec...
Best Practices on Big Data Analytics to Address Sex-Specific Biases in Our Understanding of the Etiology, Diagnosis, and Prognosis of Diseases [0.03%]
大数据分析在解决我们对疾病发病机制、诊断和预后的性别特有偏差方面的最佳实践
Su Golder,Karen O&#x;Connor,Yunwen Wang et al.
Su Golder et al.
A bias in health research to favor understanding diseases as they present in men can have a grave impact on the health of women. This paper reports on a conceptual review of the literature on machine learning or natural language processing ...
Extracellular Vesicle-Based Multianalyte Liquid Biopsy as a Diagnostic for Cancer [0.03%]
基于细胞外囊泡的多重分析液体活检作为癌症诊断工具
Andrew A Lin,Vivek Nimgaonkar,David Issadore et al.
Andrew A Lin et al.
Liquid biopsy is the analysis of materials shed by tumors into circulation, such as circulating tumor cells, nucleic acids, and extracellular vesicles (EVs), for the diagnosis and management of cancer. These assays have rapidly evolved with...
Bioinformatics of Corals: Investigating Heterogeneous Omics Data from Coral Holobionts for Insight into Reef Health and Resilience [0.03%]
珊瑚生物信息学——通过无偏分析造礁珊瑚菌丛的异质组学数据来深入研究珊瑚礁健康和抗逆性
Lenore J Cowen,Hollie M Putnam
Lenore J Cowen
Coral reefs are home to over two million species and provide habitat for roughly 25% of all marine animals, but they are being severely threatened by pollution and climate change. A large amount of genomic, transcriptomic, and other omics d...
Computational Approaches for Understanding Sequence Variation Effects on the 3D Genome Architecture [0.03%]
计算方法研究序列变异对三维基因组结构的影响
Pavel Avdeyev,Jian Zhou
Pavel Avdeyev
Decoding how genomic sequence and its variations affect 3D genome architecture is indispensable for understanding the genetic architecture of various traits and diseases. The 3D genome organization can be significantly altered by genome var...