Transfer learning enables prediction of CYP2D6 haplotype function

<p>This data here were used to train the models described in the manuscript &quot;Transfer learning enables prediction of CYP2D6 haplotype function&quot;.&nbsp; The deep learning model described predicts metabolic function of <em>CYP2D6</em> star alleles.&nbsp; It uses two pretraining steps, first with simulated data, then with sequence data collected from liver microsomes, and finally using sequence data for <em>CYP2D6</em> star alleles.</p> <p>&nbsp;</p> <p>simulated_cyp2d6_diplotypes.tar.gz&nbsp; - This file contains sequence data and labels for simulated <em>CYP2D6 </em>data used in the first training step</p> <p>dalton_2019_cyp2d6_microsomes.txt&nbsp; - This file contains summary statistic data for liver microsome data used in the second pretraining step (originally from <a href="https://doi.org/10.1111/cts.12695">https://doi.org/10.1111/cts.12695)</a></p> <p>star_samples.vcf - This file contains sequence data for <em>CYP2D6 </em>star alleles derived from PharmVar (https://www.pharmvar.org/gene/CYP2D6) used in the final training step.</p>