• 한국신재생에너지학회:학술대회논문집
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• 2008.10a
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• pp.238-241
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• 2008

In this study, absorption behaviors of absorbents and additives were measured for removing of $H_2S$ and COS from syn-gas in IGCC process, such as MDEA and HMDA. The experimental variables were concentration of absorbents and reaction temperature. From these experiments, the loading ratios of $H_2S$ were decreased with increasing of concentration of absorbents and absorption temperatures. These results will be applied to basic data for designing of $H_2S$ removal process in IGCC.

• Journal of Information Processing Systems
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• v.3 no.1
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• pp.38-42
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• 2007

Microarray data includes tens of thousands of gene expressions simultaneously, so it can be effectively used in identifying the phenotypes of diseases. However, the retrieval of functional information from a large corpus of gene expression data is still a time-consuming task. In this paper, we propose an efficient method for identifying functional categories of differentially expressed genes from a micro-array experiment by using Gene Ontology (GO). Our method is as follows: (1) The expression data set is first filtered to include only genes with mean expression values that differ by at least 3-fold between the two groups. (2) The genes are then ranked based on the t-statistics. The 100 most highly ranked genes are selected as informative genes. (3) The t-value of each informative gene is imposed as a score on the associated GO terms. High-scoring GO terms are then listed with their associated genes and represent the functional category information of the micro-array experiment. A system called HMDA (Hallym Micro-array Data analysis) is implemented on publicly available micro-array data sets and validated. Our results were also compared with the original analysis.