LDR   03018nam^^22003613a^4500
001        AA00002412_00001
005        20210614173938.0
006        m^^^^^o^^^^^^^^^^^
007        cr^^n^---ma^mp
008        210609n^^^^^^^^xx^^^^^^s^^^^^^^^^^^eng^d
245 00 |a An Introduction to Network Analysis in R |h [electronic resource].
260        |a [S.l.] : |b Middlesex College, |c 2020 November 18.
490        |a Student Symposium 2020.
520 3    |a 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 “A network biology-based approach to evaluating the effect of environmental contaminants onhuman interactome and diseases” 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 “Inferring Virus-Hostrelationship between HPV and its host Homo sapiens using protein interaction network” 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.
533        |a Electronic reproduction. |c Middlesex County College Institution, |d 2021. |f (Middlesex County College) |n Mode of access: World Wide Web. |n System requirements: Internet connectivity; Web browser software.
535 1    |a Middlesex County College Institution.
648        |a 2020-2021 |y Academic Year 2020-2021.
650    0 |a Biochemistry.
650        |a Middlesex College (Edison, NJ) -- Student works.
650        |a Middlesex College (Edison, NJ).
650    0 |a College students |x poster presentations.
650    0 |a Student Works |x Natural Sciences |x poster presentations.
650        |a Student works |x Natural Sciences |x academic theses.
662        |b New Jersey |d Edison.
700 1    |a Ganesan, Vinayak, |e author, primary.
700        |a Middlesex College -- Department of Natural Sciences. |4 spn
830    0 |a Middlesex County College.
830    0 |a Student Symposium.
830    0 |a Student Works.
852        |a MCC |c Student Symposium
856 40 |u http://middlesexcc.sobeklibrary.com/AA00002412/00001 |y Electronic Resource
992 04 |a https:/digital.middlesexcc.edu/content/AA/00/00/24/12/00001/Research Thesis -Vinayak Ganeson 12-18-2020thm.jpg
997        |a Student Symposium


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