Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA102963 | ENA |
REPOSITORIES: ENA
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Project description:Recovery of biological information (i.e. Breast tumor versus non-tumor part of breast) from microarray data under heterogeneous experimental conditions (Buffer1 versus Buffer2) using subgroup standardization. Microarray is a useful tool for gene expression analysis and prediction. For a given disease, a microarray database may come from various sources with different experimental setups, collected over time. This heterogeneity provides unnecessary complication in data analysis and, even worse, given false classification in clustering. Therefore, it is practically important to provide a standard data treatment for microarray data from heterogeneous experimental conditions. In this work, “subgroup standardization” is proposed to compensate technical heterogeneities (e.g., buffers, time, machines etc.) in microarray experimental conditions. Provided with repetitive microarray experiments, over time and buffers, the results indicate that the proposed approach can extract correct biological information in the presence of technical irregularities. Hierarchical clustering is used to validate the effectiveness of the proposed approach. Keywords: disease state study
2007-10-20 | GSE9309 | GEO
Project description:Recovery of biological information (i.e. Breast tumor versus non-tumor part of breast) from microarray data under heterogeneous experimental conditions (Buffer1 versus Buffer2) using subgroup standardization. Microarray is a useful tool for gene expression analysis and prediction. For a given disease, a microarray database may come from various sources with different experimental setups, collected over time. This heterogeneity provides unnecessary complication in data analysis and, even worse, given false classification in clustering. Therefore, it is practically important to provide a standard data treatment for microarray data from heterogeneous experimental conditions. In this work, âsubgroup standardizationâ is proposed to compensate technical heterogeneities (e.g., buffers, time, machines etc.) in microarray experimental conditions. Provided with repetitive microarray experiments, over time and buffers, the results indicate that the proposed approach can extract correct biological information in the presence of technical irregularities. Hierarchical clustering is used to validate the effectiveness of the proposed approach. Experiment Overall Design: 98 of breast cancer specimens and 8 of non-tumor part of breast specimens were applied in the study. All the signals from the mRNA profile of each sample in the microarrays were normalized using the internal control RNA- Stratagene's human common reference RNA.
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Project description:The data provide information expression profile in yeast for 5 different physioloigcal conditions during stress adpatation and stress recovery (normal growth, during stress adaptation, after stress adaptation, under stress recovery, after stress recovery) in yeast. The purpose of the study is to understand how histone acetyltransferase HATs (Gcn5) apply it is function in gene regulation by changing global or local histone acetylation level under different physiological conditions. Gene expression levels measured for at 5 different time points of physiological changes under stress adaptation and stress recovery.
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