A probabilistic approach to visualize the effect of missing data on PCA in ancient human genomics

被引：0

|

作者：

Susanne Zabel ^{[1
]}

Samira Breitling ^{[1
]}

Cosimo Posth ^{[2
]}

Kay Nieselt ^{[3
]}

机构：

[1] University of Tübingen,Institute for Bioinformatics and Medical Informatics

[2] University of Tübingen,Archaeo

[3] University of Tübingen, and Palaeogenetics, Institute for Archaeological Sciences, Department of Geosciences

来源：

BMC Genomics | / 26卷 / 1期

关键词：

Ancient genomics; Missing data; Population genetics; Principal component analysis; SmartPCA; Uncertainty;

D O I：

10.1186/s12864-025-11728-1

中图分类号：

学科分类号：

摘要：

引用

收藏

相关论文

共 6 条

[1] Islanding Detection Based on Probabilistic PCA with Missing Values in PMU Data
Liu, Xueqin
Laverty, David
Best, Robert
2014 IEEE PES GENERAL MEETING - CONFERENCE & EXPOSITION, 2014,
[2] A Hybrid Supervised Approach to Human Population Identification Using Genomics Data
Araghi, Sahar
Nguyen, Thanh
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2021, 18 (02) : 443 - 454
[3] The Effect of Modeling Missing Data With IRTree Approach on Parameter Estimates Under Different Simulation Conditions
Soguksu, Yesim Beril
Demir, Ergul
EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT, 2024,
[4] When Is a Complete-Case Approach to Missing Data Valid? The Importance of Effect-Measure Modification
Ross, Rachael K.
Breskin, Alexander
Westreich, Daniel
AMERICAN JOURNAL OF EPIDEMIOLOGY, 2020, 189 (12) : 1583 - 1589
[5] A Bayesian Approach to the Analysis of Local Average Treatment Effect for Missing and Non-normal Data in Causal Modeling: A Tutorial With the ALMOND Package in R
Shi, Dingjing
Tong, Xin
Meyer, M. Joseph
FRONTIERS IN PSYCHOLOGY, 2020, 11
[6] A Bayesian Approach to the Analysis of Local Average Treatment Effect for Missing and Non-normal Data in Causal Modeling: A Tutorial With the ALMOND Package in R (vol 11, 169, 2020)
Shi, Dingjing
Tong, Xin
Meyer, M. Joseph
FRONTIERS IN PSYCHOLOGY, 2020, 11