{"title":"数据验证和统计问题，如全基因组关联研究(GWAS)中的功率和其他考虑因素","authors":"Makoto Tomita","doi":"10.1002/wics.1601","DOIUrl":null,"url":null,"abstract":"A series of steps in genomic data analysis will be presented. In data validation, starting with marker quality control, he mentioned structuring problems from ethnic populations, genome‐wide significant levels, Manhattan plots, and Haploview. Statistical issues such as power, sample size calculation, false discovery rate, and QQ plot of p‐values were also introduced.","PeriodicalId":47779,"journal":{"name":"Wiley Interdisciplinary Reviews-Computational Statistics","volume":" ","pages":""},"PeriodicalIF":4.4000,"publicationDate":"2022-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Data validation and statistical issues such as power and other considerations in genome‐wide association study (GWAS)\",\"authors\":\"Makoto Tomita\",\"doi\":\"10.1002/wics.1601\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A series of steps in genomic data analysis will be presented. In data validation, starting with marker quality control, he mentioned structuring problems from ethnic populations, genome‐wide significant levels, Manhattan plots, and Haploview. Statistical issues such as power, sample size calculation, false discovery rate, and QQ plot of p‐values were also introduced.\",\"PeriodicalId\":47779,\"journal\":{\"name\":\"Wiley Interdisciplinary Reviews-Computational Statistics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2022-10-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Wiley Interdisciplinary Reviews-Computational Statistics\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1002/wics.1601\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"STATISTICS & PROBABILITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Wiley Interdisciplinary Reviews-Computational Statistics","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1002/wics.1601","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
Data validation and statistical issues such as power and other considerations in genome‐wide association study (GWAS)
A series of steps in genomic data analysis will be presented. In data validation, starting with marker quality control, he mentioned structuring problems from ethnic populations, genome‐wide significant levels, Manhattan plots, and Haploview. Statistical issues such as power, sample size calculation, false discovery rate, and QQ plot of p‐values were also introduced.
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
