Evaluation of classification and forecasting methods on time series gene expression data

Nafis Irtiza Tripto; Mohimenul Kabir; Md. Shamsuzzoha Bayzid; Atif Rahman

doi:10.1371/journal.pone.0241686

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Open Access

Peer-reviewed

Research Article

Evaluation of classification and forecasting methods on time series gene expression data

Nafis Irtiza Tripto ,

Contributed equally to this work with: Nafis Irtiza Tripto, Mohimenul Kabir

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft

* E-mail: mahibuet045@gmail.com (MK); nafisirtiza@cse.buet.ac.bd (NIT)

Affiliation Department of Computer Science and Engineering, Bangladesh University of Engineering & Technology, Dhaka, Bangladesh
⨯
Mohimenul Kabir ,

Contributed equally to this work with: Nafis Irtiza Tripto, Mohimenul Kabir

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft

* E-mail: mahibuet045@gmail.com (MK); nafisirtiza@cse.buet.ac.bd (NIT)

Affiliation Department of Computer Science and Engineering, Bangladesh University of Engineering & Technology, Dhaka, Bangladesh

https://orcid.org/0000-0001-7551-0337

⨯
Md. Shamsuzzoha Bayzid ,

Roles Conceptualization, Investigation, Methodology, Project administration, Supervision, Validation, Writing – review & editing

¶‡ These authors also contributed equally to this work.

Affiliation Department of Computer Science and Engineering, Bangladesh University of Engineering & Technology, Dhaka, Bangladesh
⨯
Atif Rahman

Roles Conceptualization, Investigation, Methodology, Project administration, Supervision, Validation, Writing – review & editing

¶‡ These authors also contributed equally to this work.

Affiliation Department of Computer Science and Engineering, Bangladesh University of Engineering & Technology, Dhaka, Bangladesh
⨯

Evaluation of classification and forecasting methods on time series gene expression data

Nafis Irtiza Tripto,
Mohimenul Kabir,
Md. Shamsuzzoha Bayzid,
Atif Rahman

Published: November 6, 2020
https://doi.org/10.1371/journal.pone.0241686

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Gene expression
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Forecasting
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Artificial neural networks
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