{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/an-image-representation-based-convolutional","title":"An image representation based convolutional network for DNA classification","arxiv_id":"1806.04931","date":"2018-06-13","proceeding":"ICLR 2018 1","authors":["Bojian Yin","Marleen Balvert","Davide Zambrano","Alexander Schönhuth","Sander Bohte"],"abstract":"The folding structure of the DNA molecule combined with helper molecules,\nalso referred to as the chromatin, is highly relevant for the functional\nproperties of DNA. The chromatin structure is largely determined by the\nunderlying primary DNA sequence, though the interaction is not yet fully\nunderstood. In this paper we develop a convolutional neural network that takes\nan image-representation of primary DNA sequence as its input, and predicts key\ndeterminants of chromatin structure. The method is developed such that it is\ncapable of detecting interactions between distal elements in the DNA sequence,\nwhich are known to be highly relevant. Our experiments show that the method\noutperforms several existing methods both in terms of prediction accuracy and\ntraining time.","url_abs":"http://arxiv.org/abs/1806.04931v1","url_pdf":"http://arxiv.org/pdf/1806.04931v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"an-image-representation-based-convolutional","repo_url":"https://github.com/Bojian/Hilbert-CNN","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"classification","task_name":"General Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}