simulated data from:MILP: a meta learning-based interpretable deep learning framework for multi-omics genomic prediction

This simulated dataset is applied to the research of "MILP: A Meta - Learning - Based Interpretable Deep Learning Framework for Multi - omics Genomic Prediction". The dataset encompasses simulated data under six different scenarios, which are as follows: scenarios with heritabilities of 0.1 (h2=0.1)) and 0.3 (h2=0.3) respectively, and scenarios involving 100 (QTL100), 150 (QTL150), and 200 (QTL200) Quantitative Trait Loci (QTLs).

The six sets of simulated data are respectively housed in two folders, namely simulated_data1 - 3 and simulated_data4 - 6. The folder simulated_data1 - 3 contains three files, corresponding to the simulated data for a heritability of 0.1 and QTL numbers of 100, 150, and 200 respectively. In contrast, the folder simulated_data4 - 6 contains the simulated data for a heritability of 0.3 and QTL numbers of 100, 150, and 200.

QTLs h2
0.1
0.3

100
simulated_data_1
simulated_data_4

150
simulated_data_2
simulated_data_5

200
simulated_data_3
simulated_data_6

Each simulated data file contains genotype data and phenotype data. For more information about the simulated data, please refer to the research of "MILP: a meta learning-based interpretable deep learning framework for multi-omics genomic prediction".

In the content format of the file, the first line is the ID number of the individual, the second line is the corresponding phenotypic value of the individual. Starting from the third line, it is the genotype data, which is stored in the format of 0, 1, and 2. Among them, "0" represents the homozygous reference genotype, that is, both alleles are the reference sequence; "1" represents the heterozygous genotype, which contains one reference allele and one variant allele; "2" corresponds to the homozygous variant genotype, where both alleles are in the variant form.

All six simulated data files are stored in the above format.