CrossRef Text and Data Mining
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PathTalk: Interpretation of Microarray Gene-Expression Clusters in Association with Biological Pathways.
Tae Su Chung, Hee Joon Chung, Ju Han Kim
Genomics Inform. 2007;5(3):124-128.

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Biological microarray interpretation: The rules of engagement
Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 2006;1759(7):319-327   Crossref logo
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Identification of differential expression genes, pathways and potential biomarkers for osteoarthritis using an integrative gene expression microarray analysis
Osteoarthritis and Cartilage. 2020;28:S324-S325   Crossref logo
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Exploration of Differential Gene Expression with Functional Characterization and Pathways Enrichment from Microarray Profile of Papillary Thyroid Cancer: An In Silico Genomic Approach
Gene Reports. 2020;18:100568   Crossref logo
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Altered Gene Expression in Diabetic Embryopathy: Multiple Pathways in Analysis and Interpretation
Comprehensive Toxicology. 2018;152-167   Crossref logo
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BioLattice: A framework for the biological interpretation of microarray gene expression data using concept lattice analysis
Journal of Biomedical Informatics. 2008;41(2):232-241   Crossref logo
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Analysis of Microarray Gene Expression Data
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Computational studies on Alzheimer’s disease associated pathways and regulatory patterns using microarray gene expression and network data: Revealed association with aging and other diseases
Journal of Theoretical Biology. 2013;334:109-121   Crossref logo
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Gene microarray expression profile analysis of differentially expressed genes of potential alternative pathways in non–small cell lung cancer: In search of biomarkers
Gene Reports. 2020;19:100633   Crossref logo
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Differential analysis of DNA microarray gene expression data
Molecular Microbiology. 2003;47(4):871-877   Crossref logo

Missing value imputation improves clustering and interpretation of gene expression microarray data
BMC Bioinformatics. 2008;9(1):   Crossref logo
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