Identifying responsive modules by mathematical programming: an application to budding yeast cell cycle

High-throughput biological data offer an unprecedented opportunity to fully characterize biological processes. However, how to extract meaningful biological information from these datasets is a significant challenge. Recently, pathway-based analysis has gained much progress in identifying biomarkers...

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Veröffentlicht in:	PloS one 2012-07, Vol.7 (7), p.e41854-e41854
Hauptverfasser:	Wen, Zhenshu, Liu, Zhi-Ping, Yan, Yiqing, Piao, Guanying, Liu, Zhengrong, Wu, Jiarui, Chen, Luonan
Format:	Artikel
Sprache:	eng
Schlagworte:	Arresting (process) Baking yeast Biological activity Biology Biomarkers Biomarkers - metabolism Caenorhabditis elegans Candida albicans Cell Cycle Cluster Analysis Data processing Datasets Deoxyribonucleic acid DNA DNA microarrays Experiments Gene expression Genes Genes, Fungal - genetics Genetic aspects Genomes Genomics Genotype & phenotype Identification methods Information processing Laboratories Life sciences Localization Mathematical analysis Mathematical programming Models, Biological Modules Phase transitions Phenotype Protein interaction Protein-protein interactions Proteins S phase Saccharomyces cerevisiae Saccharomyces cerevisiae - cytology Saccharomyces cerevisiae - genetics Saccharomyces cerevisiae - metabolism Site selection Systems Biology - methods Yeast
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