Das, Ranajit ; Mitra, Sushmita ; Banka, Haider ; Mukhopadhyay, Subhasis Evolutionary Biclustering with Correlation for Gene Interaction Networks In: Pattern Recognition and Machine Intelligence, Springer Nature.
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Official URL: https://doi.org/10.1007/978-3-540-77046-6_51
Related URL: http://dx.doi.org/10.1007/978-3-540-77046-6_51
Abstract
In this study, a novel rank correlation-based multiobjective evolutionary biclustering method is proposed to extract simple gene interaction networks from microarray data. Preprocessing helps to preserve those gene interaction pairs which are strongly correlated. Experimental results on time series gene expression data from Yeast are biologically validated based on standard databases and information from literature.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Source: | Copyright of this article belongs to Springer Nature. |
| Keywords: | Bioinformatics; Transcriptional regulatory network extraction; Gene expression profile; Gene interaction network. |
| ID Code: | 140170 |
| Deposited On: | 07 Sep 2025 06:00 |
| Last Modified: | 07 Sep 2025 06:00 |
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