Supplemental Material for Harel et al., 2019 HarelTom Peshes-YalozNaama BacharachEran Gat-ViksIrit 2019 Figure S1 contains an illustration of a standard decision tree model. <div><br><div>Figure S2 contains an illustration of the InPhenotype algorithm.</div><div><br></div><div>Figure S3 contains results of applying InPhenotype on real data in yeast and mouse.</div><div><br></div><div>Figure S4 contains an illustration of the haplotype probabilities discretization pipeline.</div><div><br></div><div>Figure S5 contains performance comparisons.</div><div><br></div><div>Figure S6 shows InPhenotype's robustness to different method parameters.</div><div><br></div><div>Figure S7 illustrates the contribution of genetics data and the performance of InPhenotype in the presence and absence of a weighting scheme. </div><div><br></div><div>Figure S8 shows performance on additional analyses of synthetic datasets.</div><div><br></div><div>Figure S9 shows performance on various number of causal SNPs.</div><div><br></div><div>Figure S10 shows the molecular pathways of large modules which were discovered by InPhenotype.</div><div><br></div><div>Table S1 contains the gene-SNP pairs associated with yeast cell growth in response to Rapamycin. </div><div><br></div><div>Table S2 contains the gene-SNP pairs associated with mice weight loss following Influenza infection. </div></div>