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Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization
Published on: July 27, 2021
Reconstruction of genetic association networks from microarray data: a partial least squares approach
Vasyl Pihur1, Somnath Datta, Susmita Datta
1Department of Bioinformatics and Biostatistics, University of Louisville, Louisville, KY 40292, USA.
Bioinformatics (Oxford, England)
|January 22, 2008
Summary
This study introduces a new computational method using partial least squares (PLS) regression to reconstruct gene networks from microarray data. The PLS approach effectively identifies gene-gene interactions, offering a cost-efficient screening tool for biological research.
Area of Science:
- Bioinformatics
- Computational Biology
- Systems Biology
Background:
- Gene association/interaction networks are crucial for understanding cellular processes.
- Identifying gene-gene interactions is vital for biological pathway manipulation and therapeutic development.
- Experimental methods for detecting gene interactions are often costly and labor-intensive.
Purpose of the Study:
- To introduce a novel computational method for reconstructing genetic networks.
- To utilize partial least squares (PLS) regression for analyzing microarray data.
- To provide a cost-effective screening tool for identifying gene-gene interactions.
Main Methods:
- Development of a novel computational method based on partial least squares (PLS) regression.
- Application of the PLS method for the reconstruction of genetic networks from microarray data.
- Validation using both simulated and real microarray experiments.
Main Results:
- The proposed PLS method is an effective screening procedure for detecting gene-gene interactions.
- The PLS-based approach demonstrates superiority over competing methods in performance and applicability.
- Successful reconstruction of genetic networks from microarray data was achieved.
Conclusions:
- The PLS regression technique offers a powerful and efficient computational approach for gene network reconstruction.
- This method serves as a valuable, budget-friendly screening tool for biological research.
- The R code for the PLS method is available for wider scientific use.
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