tag:joss.theoj.org,2005:/papers/reviewed_by/@vc1492aJournal of Open Source Software2020-03-18T19:57:53ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/13382020-03-18T19:57:53Z2021-02-15T11:31:21ZOrNet - a Python Toolkit to Model the Diffuse Structure of Organelles as Social Networksacceptedv0.12019-11-19 17:20:50 UTC472020-03-18 19:57:53 UTC520201983MojtabaFazliDepartment of Computer Science, University of Georgia, Athens, GA 30602 USA, The two first authors made equal contributions.0000-0002-6082-2538MarcusHillDepartment of Computer Science, University of Georgia, Athens, GA 30602 USA, The two first authors made equal contributions.0000-0002-9380-3181AndrewDurdenDepartment of Computer Science, University of Georgia, Athens, GA 30602 USARachelMattsonInstitute for Artificial Intelligence, University of Georgia, Athens, GA 30602 USAAllysonT.LoyDepartment of Microbiology, University of Georgia, Athens, GA 30602 USABarbaraReavesDepartment of Infectious Diseases, University of Georgia, Athens, GA 30602 USAAbigailCourtneyDepartment of Microbiology, University of Georgia, Athens, GA 30602 USAFrederickD.QuinnDepartment of Infectious Diseases, University of Georgia, Athens, GA 30602 USAChakraChennubhotlaDepartment of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15232 USAShannonQuinnDepartment of Computer Science, University of Georgia, Athens, GA 30602 USA, Department of Cellular Biology, University of Georgia, Athens, GA 30602 USA0000-0002-8916-633510.21105/joss.01983https://doi.org/10.5281/zenodo.3687340Pythonhttps://joss.theoj.org/papers/10.21105/joss.01983.pdfCellular Biology, Organelles, Computer Visiontag:joss.theoj.org,2005:Paper/11352019-12-01T09:20:11Z2021-02-15T11:31:53ZGraph Transliterator: A graph-based transliteration toolacceptedv0.2.72019-07-28 19:07:10 UTC442019-12-01 09:20:11 UTC420191717A.SeanPueLinguistics and Germanic, Slavic, Asian, and African Languages, Michigan State University0000-0001-8463-857810.21105/joss.01717https://doi.org/10.5281/zenodo.3558365Pythonhttps://joss.theoj.org/papers/10.21105/joss.01717.pdftransliteration, language, graphtag:joss.theoj.org,2005:Paper/9762019-10-01T17:11:23Z2021-02-15T11:32:15ZNetwulf: Interactive visualization of networks in Pythonaccepted0.0.142019-04-25 12:06:26 UTC422019-10-01 17:11:23 UTC420191425UlfAslakCenter for Social Data Science, University of Copenhagen, DK-1353 København K, DTU Compute, Technical University of Denmark, DK-2800 Kgs. Lyngby0000-0003-4704-3609BenjaminF.MaierRobert Koch Institute, Nordufer 20, D-13353 Berlin, Department of Physics, Humboldt-University of Berlin, Newtonstr. 15, D-12489 Berlin0000-0001-7414-882310.21105/joss.01425https://doi.org/10.5281/zenodo.3402870Pythonhttps://joss.theoj.org/papers/10.21105/joss.01425.pdfJavaScript, networks, visualization, interactivetag:joss.theoj.org,2005:Paper/9182019-08-12T18:51:13Z2021-02-15T11:32:26Zwebweb: a tool for creating, displaying, and sharing interactive network visualizations on the webaccepted0.0.292019-03-07 20:29:35 UTC402019-08-12 18:51:13 UTC420191458K.HunterWapmanDepartment of Computer Science, University of Colorado Boulder, Boulder, CO, USA0000-0003-2518-841XDanielB.LarremoreDepartment of Computer Science, University of Colorado Boulder, Boulder, CO, USA, BioFrontiers Institute, University of Colorado Boulder, Boulder, CO, USA0000-0001-5273-523410.21105/joss.01458https://doi.org/10.5281/zenodo.3366140JavaScript, Pythonhttps://joss.theoj.org/papers/10.21105/joss.01458.pdfnetworks, visualizations, pythontag:joss.theoj.org,2005:Paper/9122019-03-29T11:09:29Z2021-02-15T11:32:27Zrrcf: Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streamsacceptedv0.22019-03-04 21:56:28 UTC352019-03-29 11:09:29 UTC420191336MatthewD.BartosDepartment of Civil and Environmental Engineering, University of Michigan0000-0001-6421-222XAbhiramMullapudiDepartment of Civil and Environmental Engineering, University of Michigan0000-0001-8141-3621SaraC.TroutmanDepartment of Civil and Environmental Engineering, University of Michigan0000-0002-6809-795910.21105/joss.01336https://doi.org/10.5281/zenodo.2613881Pythonhttps://joss.theoj.org/papers/10.21105/joss.01336.pdfoutlier detection, machine learning, ensemble methods, random forests