Das, Ranajit ; Mitra, Sushmita ; Murthy, C. A. ; Mukhopadhyay, Subhasis (2009) A Least Squares Fitting-Based Modeling of Gene Regulatory Sub-networks In: Pattern Recognition and Machine Intelligence, Springer Nature.
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Official URL: https://doi.org/10.1007/978-3-642-11164-8_27
Related URL: http://dx.doi.org/10.1007/978-3-642-11164-8_27
Abstract
This paper presents a simple and novel least squares fitting-based modeling approach for the extraction simple gene regulatory sub- networks from biclusters in microarray time series gene expression data. Preprocessing helps in retaining the strongly interacting gene regulatory pairs. The methodology was applied to public-domain data sets of Yeast and the experimental results were biologically validated based on standard databases and information from literature.
Item Type: | Conference or Workshop Item (Paper) |
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Source: | Copyright of this article belongs to Springer Nature. |
Keywords: | Biclustering; Transcriptional regulatory network; Least squares; Gene interaction network. |
ID Code: | 140217 |
Deposited On: | 08 Sep 2025 13:35 |
Last Modified: | 08 Sep 2025 13:35 |
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