[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-117502-en":3,"doc-seo-117502-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},117502,1099514067438,"River Wang","https://ap-avatar.wpscdn.com/avatar/100002539ee87300030?x-image-process=image/resize,m_fixed,w_180,h_180&k=1780474512215547542",8,"Research & Report","Viral Host Identification Using Machine Learning and Viral Genome Sequences - A Thesis - Master of Science in Population Medicine","Viral host identification supports emergency disease preparedness and more effective response planning across human and animal health. The thesis investigates host identification using viral genome sequences combined with machine learning, surveying the evidence base and then applying classifiers to the hemagglutinin sequence of H3 influenza. A scoping review in chapter 2 charts 53 eligible publications, revealing substantial variation in methods. Chapter 3 uses multiple classifiers to assign seven hosts with high accuracy, demonstrating strong potential for machine learning within virus management frameworks.","Viral Host Identification Using Machine Learning and Viral Genome  \nSequences  \nby  \nFamke Alberts  \nA Thesis  \npresented to  \nThe University of Guelph  \nIn partial fulfilment of requirements  \nfor the degree of  \nMaster of Science  \nin  \nPopulation Medicine  \nGuelph, Ontario, Canada  \n© Famke Pasman Alberts, January, 2024  \nAbstract  \nViral Host Identification Using Machine Learning and Viral Genome Sequences  \nFamke Pasman Alberts Advisor:  \nUniversity of Guelph, 2024 Dr. Zvonimir Poljak  \nVirus host identification is important for emergency disease preparedness and effective response planning in both human and animal health. Host identification can be done using viral genome sequences and machine learning. This thesis seeks to address the topic of virus host identification using machine learning through identifying the current body of evidence and applying machine learning classifiers to the hemagglutinin sequence of H3 influenza. In chapter 2, a scoping review was performed. Data were charted for 53 publications that were identified tobe within the scope. There was a wide variety in methodology used within these publications. In chapter 3, different classifiers were utilized to assign seven hosts to H3 influenza viral sequences. This was achieved with high accuracy. These applications show the potential of machine learning as a method for host identification and the different circumstances in which it could be applied within a virus management framework.  \nAcknowledgments  \nThank you to Dr. Zvonimir Poljak for being my advisor and giving me the opportunity to complete this thesis. As well thank you to my advisory committee Dr. Olaf Berke and Dr.  \nGrazieli Maboni for helping me through the process of this thesis. I would also like to thank Dr. Sheila Keay for helping with the scoping review and protocol development presented in chapter 2 and Leilani Rocha for helping with data screening for the scoping review. Lastly, thank you tomy friends and family for allowing me to use them for practicing presentations and processing thoughts.  \nTable of Contents  \nAbstract ........................................................................................................................................... ii  \nAcknowledgments.......................................................................................................................... iii  \nTable of Contents ........................................................................................................................... iv  \nList of Tables ............................................................................................................................... viii  \nList of Figures ................................................................................................................................ ix  \nList of Supplementary Materials..................................................................................................... x  \n1 Chapter One: Introduction, Literature Review, and Thesis Objectives .................................... 1  \n1.1 General Introduction .......................................................................................................... 1  \n1.1.1 Interspecies Transmission Impact ............................................................................... 2  \n1.1.1.1 Coronavirus ......................................................................................................... 3  \n1.1.1.2 Influenza virus .................................................................................................... 4  \n1.1.2 Interspecies Transmission Identification .................................................................... 7  \n1.1.2.1 Traditional Methodology .................................................................................... 8  \n1.1.2.2 Machine Learning ............................................................................................... 8  \n1.2 Objectives of Thesis ....","cbCaiusHuOexrbF8","https://ap.wps.com/l/cbCaiusHuOexrbF8","pdf",2135399,1,127,"English","en",105,"# Abstract\n# Acknowledgments\n# List of Tables\n# List of Figures\n# List of Supplementary Materials\n# Chapter One: Introduction, Literature Review, and Thesis Objectives\n## General Introduction\n## Objectives of Thesis\n# Chapter Two: Predicting Host Species Susceptibility to Viral Infections Using Genome Data and Machine Learning: A Scoping Review\n## Materials & Methods","[{\"question\":\"Why is viral host identification important?\",\"answer\":\"Viral host identification is critical for emergency disease preparedness and for planning effective responses in both human and animal health.\"},{\"question\":\"How does the thesis approach virus host identification?\",\"answer\":\"It combines viral genome sequences with machine learning, using a scoping review to assess the evidence and classifiers applied to the hemagglutinin sequence of H3 influenza.\"},{\"question\":\"What were the key results of applying classifiers to H3 influenza sequences?\",\"answer\":\"Chapter 3 assigns seven hosts to H3 influenza viral sequences with high accuracy, indicating strong potential for machine learning in host identification.\"}]","Viral Host Identification Using Machine Learning and Viral Genome Sequences - A Thesis - Master of Science in Population Medicine | PDF",1785676399,320,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"viral-host-identification-using-machine-learning-and-viral-genome-sequences-a-thesis-master-of-science-in-population-medicine","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/viral-host-identification-using-machine-learning-and-viral-genome-sequences-a-thesis-master-of-science-in-population-medicine/117502/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-02",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Why is viral host identification important?","Question",{"text":75,"@type":76},"Viral host identification is critical for emergency disease preparedness and for planning effective responses in both human and animal health.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How does the thesis approach virus host identification?",{"text":80,"@type":76},"It combines viral genome sequences with machine learning, using a scoping review to assess the evidence and classifiers applied to the hemagglutinin sequence of H3 influenza.",{"name":82,"@type":73,"acceptedAnswer":83},"What were the key results of applying classifiers to H3 influenza sequences?",{"text":84,"@type":76},"Chapter 3 assigns seven hosts to H3 influenza viral sequences with high accuracy, indicating strong potential for machine learning in host identification.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]