{ "@context": "http://iiif.io/api/presentation/3/context.json", "id": "https://digital.middlesexcollege.edu/iiif/manifest/AA00002412/00001", "type": "Manifest", "label": { "none": [ "An Introduction to Network Analysis in R" ] }, "metadata": [ { "label": { "en": [ "Abstract" ] }, "value": { "none": [ "Throughout the course of this semester our research group has learned how to apply preliminary statisticalanalysis to biological networks using R. Primarily, we completed a brief literature review and identifiedthe paper \u201CA network biology-based approach to evaluating the effect of environmental contaminants onhuman interactome and diseases\u201D by M. Lida et.Al. as the paper to replicate. Though the paper coveredmaterial beyond the scope of our project it presented us with the preliminary material and data to beginlearning. Particularly, this paper provided us with the information to apply the stats and igraph packagesin R as well as the original data obtained by the researchers. That said, in terms of replicating the paper wehave created a Contaminant-Gene interaction network and ran a basic statistical analysis, producing similarif not identical results. The statistical analysis incudes: a degree centrality analysis, closeness centralityanalysis, betweenness centrality analysis, as well as the identification of clustering coefficients. Additionallyto build on the work of the paper we have also applied the graphing analysis of \u201CInferring Virus-Hostrelationship between HPV and its host Homo sapiens using protein interaction network\u201D by Q. Farooq et.Aldeveloping both a degree Vs closeness and degree Vs betweenness plot, showcasing significant elements ofthe Contaminant-Gene network. That said, As we have now developed the methodology to properly explorea network using R, we intend to apply this knowledge to other datasets in the future in effort to gain bettervisual and statistical insight into biological networks." ] } }, { "label": { "en": [ "Publication Date" ] }, "value": { "none": [ "2020 November 18" ] } }, { "label": { "en": [ "Hierarchical Spatial" ] }, "value": { "none": [ "New Jersey", "Edison" ] } }, { "label": { "en": [ "Holding Location" ] }, "value": { "none": [ "Middlesex County College Institution" ] } }, { "label": { "en": [ "Permanent Link" ] }, "value": { "none": [ "http://middlesexcc.sobeklibrary.com/AA00002412/00001" ] } }, { "label": { "en": [ "Creator" ] }, "value": { "none": [ "Ganesan, Vinayak", "Middlesex College -- Department of Natural Sciences" ] } }, { "label": { "en": [ "Publisher" ] }, "value": { "none": [ "Middlesex College" ] } }, { "label": { "en": [ "Type" ] }, "value": { "none": [ "Mixed Material" ] } }, { "label": { "en": [ "Source Institution" ] }, "value": { "none": [ "Middlesex County College Institution" ] } }, { "label": { "en": [ "Subjects / Keywords" ] }, "value": { "none": [ "Biochemistry", "Middlesex College (Edison, NJ) -- Student works", "Middlesex College (Edison, NJ)", "College students -- poster presentations", "Student Works -- Natural Sciences -- poster presentations", "Student works -- Natural Sciences -- academic theses" ] } }, { "label": { "en": [ "Temporal Coverage" ] }, "value": { "none": [ "Academic Year 2020-2021 ( 2020 - 2021 )" ] } }, { "label": { "en": [ "Title" ] }, "value": { "none": [ "An Introduction to Network Analysis in R" ] } }, { "label": { "en": [ "Series Title" ] }, "value": { "none": [ "Student Symposium 2020" ] } }, { "label": { "en": [ "Format" ] }, "value": { "none": [ "Mixed Material" ] } }, { "label": { "en": [ "Digital Resource Creation Date" ] }, "value": { "none": [ "6/9/2021" ] } } ], "service": [ { "@context": "http://iiif.io/api/search/2/context.json", "id": "https://digital.middlesexcollege.edu/iiif/manifest/AA00002412/00001/search", "type": "SearchService2", "profile": "http://iiif.io/api/search/2/search" } ], "seeAlso": [ { "id": "https://digital.middlesexcc.edu/content/AA/00/00/24/12/00001/AA00002412_00001.mets.xml", "type": "Dataset", "format": "application/mets\u002Bxml", "label": { "en": "METS" } }, { "id": "https://digital.middlesexcc.edu/content/AA/00/00/24/12/00001/marc.xml", "type": "Dataset", "format": "application/marcxml\u002Bxml", "label": { "en": "MARCXML" } } ], "items": [] }