Original language | English |
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Journal | bioRxiv |
DOIs | |
Publication status | Submitted - 15 May 2020 |
Externally published | Yes |
Using a supervised principal components analysis for variable selection in high-dimensional datasets reduces false discovery rates
Insha Ullah*, Kerrie Mengersen, Anthony Pettitt, Benoit Liquet
*Corresponding author for this work
Research output: Contribution to journal › Article