Data Science Issues in Studying Protein-RNA Interactions with CLIP Technologies [0.03%]
关于使用CLIP技术研究蛋白质-RNA相互作用的数据科学问题
Anob M Chakrabarti,Nejc Haberman,Arne Praznik et al.
Anob M Chakrabarti et al.
An interplay of experimental and computational methods is required to achieve a comprehensive understanding of protein-RNA interactions. UV crosslinking and immunoprecipitation (CLIP) identifies endogenous interactions by sequencing RNA fra...
Addressing the Challenge of Biomedical Data Inequality: An Artificial Intelligence Perspective [0.03%]
应对生物医学数据不平等的挑战：人工智能视角
Yan Gao,Teena Sharma,Yan Cui
Yan Gao
Artificial intelligence (AI) and other data-driven technologies hold great promise to transform healthcare and confer the predictive power essential to precision medicine. However, the existing biomedical data, which are a vital resource an...
Dvir Aran
Dvir Aran
Since the first publication a decade ago describing the use of single-cell RNA sequencing (scRNA-seq) in the context of cancer, over 200 datasets and thousands of scRNA-seq studies have been published in cancer biology. scRNA-seq technologi...
Todd L Edwards,Catherine A Greene,Jacqueline A Piekos et al.
Todd L Edwards et al.
The intersection of women's health and data science is a field of research that has historically trailed other fields, but more recently it has gained momentum. This growth is being driven not only by new investigators who are moving into t...
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...