A bootstrap based nonparametric analysis of variance (NANOVA) on RNA-seq data of yeast Glaciozyma Antarctica PI12

Safinah Sharuddin, Nora Muda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The development of statistical methods for big data such as RNA-seq is an active genomics research nowadays. In this study, full factorial design is used to perform the Analysis of Variance (ANOVA). Since normality assumption did not hold for these datasets, a bootstrap based nonparametric Analysis of Variance (NANOVA) was chosen as alternative to ANOVA test. This study provides the full factorial design approach on NANOVA test. The result shows that the NANOVA methods gives high area under the curve (AUC) value that indicate the methods is suitable for this type of dataset.

Original languageEnglish
Title of host publication2018 UKM FST Postgraduate Colloquium
Subtitle of host publicationProceedings of the Universiti Kebangsaan Malaysia, Faculty of Science and Technology 2018 Postgraduate Colloquium
EditorsNoor Hayati Ahmad Rasol, Kamarulzaman Ibrahim, Siti Aishah Hasbullah, Mohammad Hafizuddin Hj. Jumali, Nazlina Ibrahim, Marlia Mohd Hanafiah, Mohd Talib Latif
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735418431
DOIs
Publication statusPublished - 27 Jun 2019
Event2018 UKM FST Postgraduate Colloquium - Selangor, Malaysia
Duration: 4 Apr 20186 Apr 2018

Publication series

NameAIP Conference Proceedings
Volume2111
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference2018 UKM FST Postgraduate Colloquium
CountryMalaysia
CitySelangor
Period4/4/186/4/18

Fingerprint

analysis of variance
yeast
Antarctic regions
variance analysis
Antarctica
RNA
yeasts
factorial design
normality
genomics
statistical analysis
testing
curves
methodology
method

Keywords

  • Design of experiments (DOE)
  • Glaciozyma Antarctica PI12
  • NANOVA test
  • RNA-seq

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Ecology
  • Plant Science
  • Physics and Astronomy(all)
  • Nature and Landscape Conservation

Cite this

Sharuddin, S., & Muda, N. (2019). A bootstrap based nonparametric analysis of variance (NANOVA) on RNA-seq data of yeast Glaciozyma Antarctica PI12. In N. H. A. Rasol, K. Ibrahim, S. A. Hasbullah, M. H. H. Jumali, N. Ibrahim, M. M. Hanafiah, & M. T. Latif (Eds.), 2018 UKM FST Postgraduate Colloquium: Proceedings of the Universiti Kebangsaan Malaysia, Faculty of Science and Technology 2018 Postgraduate Colloquium [020017] (AIP Conference Proceedings; Vol. 2111). American Institute of Physics Inc.. https://doi.org/10.1063/1.5111224

A bootstrap based nonparametric analysis of variance (NANOVA) on RNA-seq data of yeast Glaciozyma Antarctica PI12. / Sharuddin, Safinah; Muda, Nora.

2018 UKM FST Postgraduate Colloquium: Proceedings of the Universiti Kebangsaan Malaysia, Faculty of Science and Technology 2018 Postgraduate Colloquium. ed. / Noor Hayati Ahmad Rasol; Kamarulzaman Ibrahim; Siti Aishah Hasbullah; Mohammad Hafizuddin Hj. Jumali; Nazlina Ibrahim; Marlia Mohd Hanafiah; Mohd Talib Latif. American Institute of Physics Inc., 2019. 020017 (AIP Conference Proceedings; Vol. 2111).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sharuddin, S & Muda, N 2019, A bootstrap based nonparametric analysis of variance (NANOVA) on RNA-seq data of yeast Glaciozyma Antarctica PI12. in NHA Rasol, K Ibrahim, SA Hasbullah, MHH Jumali, N Ibrahim, MM Hanafiah & MT Latif (eds), 2018 UKM FST Postgraduate Colloquium: Proceedings of the Universiti Kebangsaan Malaysia, Faculty of Science and Technology 2018 Postgraduate Colloquium., 020017, AIP Conference Proceedings, vol. 2111, American Institute of Physics Inc., 2018 UKM FST Postgraduate Colloquium, Selangor, Malaysia, 4/4/18. https://doi.org/10.1063/1.5111224
Sharuddin S, Muda N. A bootstrap based nonparametric analysis of variance (NANOVA) on RNA-seq data of yeast Glaciozyma Antarctica PI12. In Rasol NHA, Ibrahim K, Hasbullah SA, Jumali MHH, Ibrahim N, Hanafiah MM, Latif MT, editors, 2018 UKM FST Postgraduate Colloquium: Proceedings of the Universiti Kebangsaan Malaysia, Faculty of Science and Technology 2018 Postgraduate Colloquium. American Institute of Physics Inc. 2019. 020017. (AIP Conference Proceedings). https://doi.org/10.1063/1.5111224
Sharuddin, Safinah ; Muda, Nora. / A bootstrap based nonparametric analysis of variance (NANOVA) on RNA-seq data of yeast Glaciozyma Antarctica PI12. 2018 UKM FST Postgraduate Colloquium: Proceedings of the Universiti Kebangsaan Malaysia, Faculty of Science and Technology 2018 Postgraduate Colloquium. editor / Noor Hayati Ahmad Rasol ; Kamarulzaman Ibrahim ; Siti Aishah Hasbullah ; Mohammad Hafizuddin Hj. Jumali ; Nazlina Ibrahim ; Marlia Mohd Hanafiah ; Mohd Talib Latif. American Institute of Physics Inc., 2019. (AIP Conference Proceedings).
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