DeepAI AI Chat
Log In Sign Up

An Application of PC-AiR Method for Population Structure Inference in the Presence of Sample Relatedness

05/07/2018
by   Bochao Jia, et al.
0

In this paper, we introduce the PC-AiR method for robust inference of population structure when there exist related individuals. We describe the PC-AiR approach in detail and especially examine the shrinkage phenomenon when predicting the PC scores. To evaluate the performance and compare it with other methods, we apply it as well as competing methods in a simulation study and two real datasets.

READ FULL TEXT

page 1

page 2

page 3

page 4

02/07/2022

Over-the-Air Ensemble Inference with Model Privacy

We consider distributed inference at the wireless edge, where multiple c...
04/08/2019

Modelling Air Pollution Crises Using Multi-agent Simulation

This paper describes an agent based approach for simulating the control ...
11/18/2022

Deep Gaussian Processes for Air Quality Inference

Air pollution kills around 7 million people annually, and approximately ...
03/09/2021

Will it Crease or Cease? A study of Debulking of Air Pockets in Automated Prepreg Composite Layup

Automatic draping of carbon-fiber prepreg plies for the aerospace indust...
05/22/2021

A note on efficient audit sample selection

Auditing is a widely used method for quality improvement, and many guide...
02/19/2018

Discovering Effect Modification and Randomization Inference in Air Pollution Studies

Studies have shown that exposure to air pollution, even at low levels, s...
02/14/2022

Enumeration of Dyck paths with air pockets

We introduce and study the new combinatorial class of Dyck paths with ai...