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

This simulation dataset was used for MILP: a meta Learning-Based interpretable deep learning framework for multi-omics genomic prediction The dataset encompasses simulated data pertaining to six distinct scenarios. These six simulated scenarios are elaborated as follows: scenarios characterized by heritabilities of 0.1 (h2=0.1) and 0.3 (h2=0.3), along with the presence of 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_data1-3-5 and simulated_data2-4-6. The folder simulated_data1-3-5 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_data2-4-6 contains the simulated data for a heritability of 0.3 and QTL numbers of 100, 150, and 200. The sequential numbering is presented as follows: QTLs h2 0.1 0.3 100 simulated_data_1 simulated_data_2 150 simulated_data_3 simulated_data_4 200 simulated_data_5 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. The QMSim folder contains parameter card files corresponding to the respective file names. The corresponding output files can be generated by executing these parameter cards in the QMSim software.