{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T12:28:41Z","timestamp":1776688121819,"version":"3.51.2"},"publisher-location":"New York, NY, USA","reference-count":27,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,9,21]],"date-time":"2020-09-21T00:00:00Z","timestamp":1600646400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,9,21]]},"DOI":"10.1145\/3388440.3412412","type":"proceedings-article","created":{"date-parts":[[2020,11,10]],"date-time":"2020-11-10T12:42:33Z","timestamp":1605012153000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Zero-shot imputations across species are enabled through joint modeling of human and mouse epigenomics"],"prefix":"10.1145","author":[{"given":"Jacob","family":"Schreiber","sequence":"first","affiliation":[{"name":"University of Washington, Seattle, Washington, United States"}]},{"given":"Deepthi","family":"Hegde","sequence":"additional","affiliation":[{"name":"University of Washington, Seattle, Washington, United States"}]},{"given":"William","family":"Noble","sequence":"additional","affiliation":[{"name":"University of Washington, Seattle, Washington, United syayes"}]}],"member":"320","published-online":{"date-parts":[[2020,11,10]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2005.01.001"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cels.2016.10.019"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1006\/geno.1996.0209"},{"key":"e_1_3_2_1_4_1","volume-title":"PREDICTD: PaRallel Epigenomics Data Imputation with Cloud-based Tensor Decomposition. Nature Communications 9","author":"Durham T. J.","year":"2018","unstructured":"T. J. Durham , M. W. Libbrecht , J. J. Howbert , J. A. Bilmes , and W. S. Noble . 2018 . PREDICTD: PaRallel Epigenomics Data Imputation with Cloud-based Tensor Decomposition. Nature Communications 9 (2018). T. J. Durham, M. W. Libbrecht, J. J. Howbert, J. A. Bilmes, and W. S. Noble. 2018. PREDICTD: PaRallel Epigenomics Data Imputation with Cloud-based Tensor Decomposition. Nature Communications 9 (2018)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature11247"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1038\/nmeth.1906"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1038\/nbt.3157"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbr031"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1093\/humupd\/dmy021"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1101\/gr.7.10.959"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1038\/nmeth.1937"},{"key":"e_1_3_2_1_12_1","volume-title":"Cross-species regulatory sequence activity prediction. bioRxiv","author":"Kelley D. R.","year":"2019","unstructured":"D. R. Kelley . 2019. Cross-species regulatory sequence activity prediction. bioRxiv ( 2019 ). D. R. Kelley. 2019. Cross-species regulatory sequence activity prediction. bioRxiv (2019)."},{"key":"e_1_3_2_1_13_1","volume-title":"Proceedings of the 3rd International Conference on Learning Representations.","author":"Kingma D.","unstructured":"D. Kingma and J. Ba . 2015. Adam: A Method for Stochastic Optimization . In Proceedings of the 3rd International Conference on Learning Representations. D. Kingma and J. Ba. 2015. Adam: A Method for Stochastic Optimization. In Proceedings of the 3rd International Conference on Learning Representations."},{"key":"e_1_3_2_1_14_1","volume-title":"Integrative analysis of 111 reference human epigenomes. Nature 518, 7539","author":"Kundaje Anshul","year":"2015","unstructured":"Anshul Kundaje , Wouter Meuleman , Jason Ernst , Misha Bilenky , Angela Yen , Alireza Heravi-Moussavi , Pouya Kheradpour , Zhizhuo Zhang , Jianrong Wang , and Michael J Ziller . 2015. Integrative analysis of 111 reference human epigenomes. Nature 518, 7539 ( 2015 ), 317--330. Anshul Kundaje, Wouter Meuleman, Jason Ernst, Misha Bilenky, Angela Yen, Alireza Heravi-Moussavi, Pouya Kheradpour, Zhizhuo Zhang, Jianrong Wang, and Michael J Ziller. 2015. Integrative analysis of 111 reference human epigenomes. Nature 518, 7539 (2015), 317--330."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1101\/gr.136184.111"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0042021"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.molonc.2013.02.015"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature01262"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1101\/gr.080861.108"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","unstructured":"J. M. Schreiber J. Bilmes and W. S. Noble. 2019. Prioritizing transcriptomic and epigenomic experiments by using an optimization strategy that leverages imputed data. bioRxiv (2019). https:\/\/www.biorxiv.org\/content\/10.1101\/708107v1.  J. M. Schreiber J. Bilmes and W. S. Noble. 2019. Prioritizing transcriptomic and epigenomic experiments by using an optimization strategy that leverages imputed data. bioRxiv (2019). https:\/\/www.biorxiv.org\/content\/10.1101\/708107v1.","DOI":"10.1101\/708107"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"J. M. Schreiber J. Bilmes and W. S. Noble. 2020. Completing the ENCODE3 compendium yields accurate imputations across a variety of assays and human biosamples. Genome Biology (2020).  J. M. Schreiber J. Bilmes and W. S. Noble. 2020. Completing the ENCODE3 compendium yields accurate imputations across a variety of assays and human biosamples. Genome Biology (2020).","DOI":"10.1101\/533273"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"J. M. Schreiber T. J. Durham J. Bilmes and W. S. Noble. 2020. Multi-scale deep tensor factorization learns a latent representation of the human epigenome. Genome Biology (2020).  J. M. Schreiber T. J. Durham J. Bilmes and W. S. Noble. 2020. Multi-scale deep tensor factorization learns a latent representation of the human epigenome. Genome Biology (2020).","DOI":"10.1186\/s13059-020-01977-6"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","unstructured":"J. M. Schreiber R. Singh J. Bilmes and W. S. Noble. 2019. A pitfall for machine learning methods aiming to predict across cell types. bioRxiv (2019). https:\/\/www.biorxiv.org\/content\/10.1101\/512434v1.  J. M. Schreiber R. Singh J. Bilmes and W. S. Noble. 2019. A pitfall for machine learning methods aiming to predict across cell types. bioRxiv (2019). https:\/\/www.biorxiv.org\/content\/10.1101\/512434v1.","DOI":"10.1101\/512434"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1101\/gr.1208803"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gky1131"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13059-016-1089-7"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature13992"}],"event":{"name":"BCB '20: 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","location":"Virtual Event USA","acronym":"BCB '20","sponsor":["SIGBio ACM Special Interest Group on Bioinformatics"]},"container-title":["Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3388440.3412412","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3388440.3412412","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:33:29Z","timestamp":1750199609000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3388440.3412412"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,21]]},"references-count":27,"alternative-id":["10.1145\/3388440.3412412","10.1145\/3388440"],"URL":"https:\/\/doi.org\/10.1145\/3388440.3412412","relation":{},"subject":[],"published":{"date-parts":[[2020,9,21]]},"assertion":[{"value":"2020-11-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}