找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Genetic Epidemiology; Methods and Protocol Evangelos Evangelou Book 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018

[復(fù)制鏈接]
樓主: cerebral
41#
發(fā)表于 2025-3-28 16:57:51 | 只看該作者
Genome-Wide Association Studies,e, common variant” theory, and will review how we finally afforded to capture the common variance in genome to make GWAS possible. Finally, we will go over technical aspects of GWAS such as genotype imputation, epidemiologic designs, analysis methods, and considerations such as genomic inflation, multiple testing, and replication.
42#
發(fā)表于 2025-3-28 20:45:09 | 只看該作者
Das Methoden-Repertoire von Lehrerne applicable for family-based rare variant analysis. Here, I present three published statistical approaches for family-based rare variant analysis for: 1. continuous traits, 2. binary traits, and 3. multiple correlated traits.
43#
發(fā)表于 2025-3-29 01:47:27 | 只看該作者
44#
發(fā)表于 2025-3-29 05:16:11 | 只看該作者
Novel Methods for Family-Based Genetic Studies,e applicable for family-based rare variant analysis. Here, I present three published statistical approaches for family-based rare variant analysis for: 1. continuous traits, 2. binary traits, and 3. multiple correlated traits.
45#
發(fā)表于 2025-3-29 08:19:26 | 只看該作者
From Identification to Function: Current Strategies to Prioritise and Follow-Up GWAS Results,evelop better preventive and curative strategies? Current efforts are shifting to focus on these questions as we move from identifying variants to understanding their effects. Here I provide a broad overview of the main technical concerns and current bottlenecks as we approach this new phase.
46#
發(fā)表于 2025-3-29 15:09:49 | 只看該作者
47#
發(fā)表于 2025-3-29 16:43:43 | 只看該作者
48#
發(fā)表于 2025-3-29 20:58:34 | 只看該作者
49#
發(fā)表于 2025-3-30 00:47:52 | 只看該作者
Genome-Wide Association Studies,nome-wide association studies (GWAS). In this chapter, we review the key concepts that underlie the GWAS approach. We will describe the “common disease, common variant” theory, and will review how we finally afforded to capture the common variance in genome to make GWAS possible. Finally, we will go
50#
發(fā)表于 2025-3-30 05:39:28 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-9 23:09
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
长垣县| 茌平县| 凭祥市| 千阳县| 武城县| 探索| 溧阳市| 隆昌县| 四子王旗| 石屏县| 朝阳县| 长兴县| 府谷县| 阆中市| 庄河市| 金寨县| 揭东县| 泸定县| 安阳市| 荥阳市| 拜城县| 诸暨市| 阿尔山市| 黄陵县| 万宁市| 友谊县| 富锦市| 灵台县| 静海县| 大石桥市| 同心县| 广饶县| 通辽市| 平武县| 承德市| 普宁市| 日照市| 江北区| 沾化县| 达尔| 墨脱县|