1. Autism Spectrum Disorder Working Group of the Psychiatric Genomics Consortium, BUPGEN, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, 23andMe Research Team, Grove J, Ripke S, Als TD, Mattheisen M, Walters RK, Won H, Pallesen J, Agerbo E et al (2019) Identification of common genetic risk variants for autism spectrum disorder. Nat Genet 51:431–444
2. Barthélémy, Caron Yufei, Luo Antonio, Rausell (2019) NCBoost classifies pathogenic non-coding variants in Mendelian diseases through supervised learning on purifying selection signals in humans Genome Biol 20(1). https://doi.org/10.1186/s13059-019-1634-2
3. Bernstein BE, Stamatoyannopoulos JA, Costello JF, Ren B, Milosavljevic A, Meissner A, Kellis M, Marra MA, Beaudet AL, Ecker JR, Farnham PJ, Hirst M et al (2010) The NIH roadmap epigenomics mapping consortium. Nat Biotechnol 28:1045–1048
4. Buitinck L, Louppe G, Blondel M, Pedregosa F, Mueller A, Grisel O, Niculae V, Prettenhofer P, Gramfort A, Grobler J, Layton R (2013) API design for machine learning software: experiences from the scikit-learn project. arXiv preprint arXiv:1309.0238
5. Carter H, Douville C, Stenson PD, Cooper DN, Karchin R (2013) Identifying mendelian disease genes with the variant effect scoring tool. BMC Genomics 14:S3