Exploring Unsupervised Machine Learning Techniques for Genomic Island Categorization.

poster Share on Exploring Unsupervised Machine Learning Techniques for Genomic Island Categorization Authors: Noushin Ghaffari Department of Computer Science, Prairie View A&M University, USA Department of Computer Science, Prairie View A&M University, USA 0000-0001-5354-5643View Profile , Lijie Zhou Prairie View A&M University, USA Prairie View A&M University, USA 0009-0007-6486-8369View Profile , Catherine Mageeney Sandia National Laboratory, USA Sandia National Laboratory, USA 0000-0001-7969-1622View Profile , Kelly Porter Williams Sandia National Laboratory, USA Sandia National Laboratory, USA 0000-0002-2606-9562View Profile Authors Info & Claims PEARC '23: Practice and Experience in Advanced Research ComputingJuly 2023Pages 445–447https://doi.org/10.1145/3569951.3597563Published:10 September 2023Publication History 0citation15DownloadsMetricsTotal Citations0Total Downloads15Last 12 Months15Last 6 weeks15 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access