NOREVA: enhanced normalization and evaluation of time-course and multi-class metabolomic data.

.

Significance :

NOREVA provides a platform to quickly evaluate the performance of multiple normalization

methods. And the combined strategy of sample normalization and metabolite normalization

appears to be effective in eliminating unnecessary variation in the dataset.

.

Importance of lipidology :

Lipidomics data are evaluated from multiple perspectives using NOREVA to find the most

appropriate normalization method for the data to obtain results that eliminate unexpected variation.

.

Connectivity to other field :

The data characteristics of each omics are different. Before using normalization method,

you need to consider whether the assumptions of the method are consistent with the data

and then perform pre-processing to obtain correct statistical results.

-

READ MORE

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7319444/