Entering edit mode
22 months ago
seda
▴
10
Hello to everyone!
I have 7 different metagenome datasets. I have to build a machine learning model using these datasets. This is my question; I want to bring together 7 different datasets into one huge data for the input of the model. Is it a data fusion or a data integration that brings all datasets together? According to my google searches, both are different techniques.
Ps. 2 of all metagenome datasets are 16SrRNA using 454 pyrosequencing, 1 is shotgun whole genome sequencing using Illumina HiSeq, 4 are 16SrRNA using Illumina MiSeq.
