Population Affiliation Prediction Based on Rare Variants and Using Lancaster Importance Estimator, Principal Component Analysis, and Random Forest
Main Author: | Wathen, Michael J. |
---|---|
Language: | English |
Published: |
University of Cincinnati / OhioLINK
2016
|
Subjects: | |
Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=ucin1460730716 |
Similar Items
-
On rare variants in principal component analysis of population stratification
by: Shengqing Ma, et al.
Published: (2020-03-01) -
The oceanography of Lancaster Sound.
by: Collin, Arthur. E.
Published: (1962) -
Balance : Lancaster County's tragedy
by: Gingrich, Valerie (Valerie J.)
Published: (2008) -
Estimation of Knee Movement from Surface EMG Using Random Forest with Principal Component Analysis
by: Zhong Li, et al.
Published: (2019-12-01) -
A random forest classifier for detecting rare variants in NGS data from viral populations
by: Raunaq Malhotra, et al.
Published: (2017-01-01)