Developmental normalization of phenomics data generated by high throughput plant phenotyping systems.

Diego Lozano-ClarosXiangxiang MengEddie CustovicGuang DengOliver BerkowitzJames WhelanMathew G Lewsey

Published in: Plant methods (2020)

DAPD is an effective method to control for temporal differences in development within plant phenotyping datasets. In principle, it can be applied to HTPP data from any species/trait combination for which a relevant developmental scale can be defined.

Keyphrases

high throughput
electronic health record
single cell
big data
rna seq
data analysis
machine learning