Predictive Meta-analysis of Multiple Microarray Datasets: An Application to Classification of Malignant Gliomas

Nurislam Tursynbek, Ghazal Ghahramany, Sheida Nabavi, Amin Zollanvari

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

Abstract

In this study, we conducted a predictive meta-analysis of multiple microarrays to identify a gene signature that can be potentially used to distinguish different grades of malignant gliomas (i.e., Grade III and IV). We showed our developed classification rule achieved an average accuracy and a J index of 75% and 52.6%, respectively, as measured by a dataset cross-validation strategy. Furthermore, we showed that clustering samples on the basis of similarity of expression profiles of the gene signature divides the data across available studies mainly into the two phenotypic groups regardless of the actual study. From the standpoint of data analytics, the results of this study confirm the utility of meta-analysis in integrating raw data from multiple studies into a predictive framework. From a biological perspective, the identified gene signature can be potentially used to shed light on the molecular mechanisms underlying the formation of malignant gliomas.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
EditorsHarald Schmidt, David Griol, Haiying Wang, Jan Baumbach, Huiru Zheng, Zoraida Callejas, Xiaohua Hu, Julie Dickerson, Le Zhang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2423-2428
Number of pages6
ISBN (Electronic)9781538654880
DOIs
Publication statusPublished - Jan 21 2019
Event2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 - Madrid, Spain
Duration: Dec 3 2018Dec 6 2018

Publication series

NameProceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018

Conference

Conference2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
CountrySpain
CityMadrid
Period12/3/1812/6/18

Keywords

  • Elastic Net
  • Malignant Gliomas
  • Prediction Analysis of Microarrays
  • Predictive Meta-analysis

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

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