TY - JOUR AU - Zitnik, M. AU - Nguyen, F. AU - Wang, B. AU - Leskovec, J. AU - Goldenberg, A. AU - Hoffman, M. M. PY - 2019 DA - 2019// TI - Machine learning for integrating data in biology and medicine: principles, practice, and opportunities JO - Inf Fusion VL - 50 UR - https://doi.org/10.1016/j.inffus.2018.09.012 DO - 10.1016/j.inffus.2018.09.012 ID - Zitnik2019 ER - TY - JOUR AU - Altman, N. AU - Krzywinski, M. PY - 2018 DA - 2018// TI - The curse(s) of dimensionality JO - Nat Methods VL - 15 UR - https://doi.org/10.1038/s41592-018-0019-x DO - 10.1038/s41592-018-0019-x ID - Altman2018 ER - TY - JOUR AU - Bzdok, D. AU - Altman, N. AU - Krzywinski, M. PY - 2018 DA - 2018// TI - Statistics versus machine learning JO - Nat Methods VL - 15 UR - https://doi.org/10.1038/nmeth.4642 DO - 10.1038/nmeth.4642 ID - Bzdok2018 ER - TY - JOUR AU - Libbrecht, M. W. AU - Noble, W. S. PY - 2015 DA - 2015// TI - Machine learning applications in genetics and genomics JO - Nat Rev Genet VL - 16 UR - https://doi.org/10.1038/nrg3920 DO - 10.1038/nrg3920 ID - Libbrecht2015 ER - TY - JOUR AU - Zou, J. AU - Huss, M. AU - Abid, A. AU - Mohammadi, P. AU - Torkamani, A. AU - Telenti, A. PY - 2019 DA - 2019// TI - A primer on deep learning in genomics JO - Nat Genet VL - 51 UR - https://doi.org/10.1038/s41588-018-0295-5 DO - 10.1038/s41588-018-0295-5 ID - Zou2019 ER - TY - JOUR AU - Schrider, D. R. AU - Kern, A. D. PY - 2018 DA - 2018// TI - Supervised machine learning for population genetics: a new paradigm JO - Trends Genet VL - 34 UR - https://doi.org/10.1016/j.tig.2017.12.005 DO - 10.1016/j.tig.2017.12.005 ID - Schrider2018 ER - TY - JOUR AU - Washburn, J. D. AU - Mejia-Guerra, M. K. AU - Ramstein, G. AU - Kremling, K. A. AU - Valluru, R. AU - Buckler, E. S. PY - 2019 DA - 2019// TI - Evolutionarily informed deep learning methods for predicting relative transcript abundance from DNA sequence JO - Proc Natl Acad Sci U S A VL - 116 UR - https://doi.org/10.1073/pnas.1814551116 DO - 10.1073/pnas.1814551116 ID - Washburn2019 ER - TY - JOUR AU - Angermueller, C. AU - Lee, H. J. AU - Reik, W. AU - Stegle, O. PY - 2017 DA - 2017// TI - DeepCpG: accurate prediction of single-cell DNA methylation states using deep learning JO - Genome Biol VL - 18 UR - https://doi.org/10.1186/s13059-017-1189-z DO - 10.1186/s13059-017-1189-z ID - Angermueller2017 ER - TY - JOUR AU - Sun, Y. V. AU - Kardia, S. L. R. PY - 2008 DA - 2008// TI - Imputing missing genotypic data of single-nucleotide polymorphisms using neural networks JO - Eur J Hum Genet VL - 16 UR - https://doi.org/10.1038/sj.ejhg.5201988 DO - 10.1038/sj.ejhg.5201988 ID - Sun2008 ER - TY - JOUR AU - Poplin, R. AU - Chang, P. C. AU - Alexander, D. AU - Schwartz, S. AU - Colthurst, T. AU - Ku, A. PY - 2018 DA - 2018// TI - A universal SNP and small-indel variant caller using deep neural networks JO - Nat Biotechnol VL - 36 ID - Poplin2018 ER -