A Least Squares Fitting-Based Modeling of Gene Regulatory Sub-networks

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)
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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