{"title":"A digital marker for coronary artery disease","authors":"Linda Koch","doi":"10.1038/s41576-024-00755-5","DOIUrl":null,"url":null,"abstract":"Petrazzini et al. leverage exome sequencing data and a novel machine learning-based marker to identify rare and ultra-rare coding variants associated with coronary artery disease.","PeriodicalId":19067,"journal":{"name":"Nature Reviews Genetics","volume":"25 8","pages":"529-529"},"PeriodicalIF":39.1000,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Reviews Genetics","FirstCategoryId":"99","ListUrlMain":"https://www.nature.com/articles/s41576-024-00755-5","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
Petrazzini et al. leverage exome sequencing data and a novel machine learning-based marker to identify rare and ultra-rare coding variants associated with coronary artery disease.
期刊介绍：
At Nature Reviews Genetics, our goal is to be the leading source of reviews and commentaries for the scientific communities we serve. We are dedicated to publishing authoritative articles that are easily accessible to our readers. We believe in enhancing our articles with clear and understandable figures, tables, and other display items. Our aim is to provide an unparalleled service to authors, referees, and readers, and we are committed to maximizing the usefulness and impact of each article we publish.
Within our journal, we publish a range of content including Research Highlights, Comments, Reviews, and Perspectives that are relevant to geneticists and genomicists. With our broad scope, we ensure that the articles we publish reach the widest possible audience.
As part of the Nature Reviews portfolio of journals, we strive to uphold the high standards and reputation associated with this esteemed collection of publications.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
