TY  - RPRT
TI  - Using a supervised principal components analysis for variable selection in high-dimensional datasets reduces false discovery rates
AU  - ULLAH, I.
AU  - Mengersen, K.
AU  - Pettitt, A.
AU  - Liquet, B.
PY  - 2020
DO  - 10.1101/2020.05.15.097774
UR  - https://www.biorxiv.org/content/10.1101/2020.05.15.097774v1
ID  - 10.1101/2020.05.15.097774
ER  -