Abstract: The present invention relates to a method for detecting a target analyte in a sample using a signal change-amount data set and its reconstructed data set. According to the present invention, a data set amendment for target analyte detection such as baselining and smoothing of a data set can be easily achieved without complicated steps such as setting a baseline region.

Abstract: The present invention relates to a method for reducing a noise level of a data set for a target analyte in a sample. The present invention can reduce a noise level of a data set to a proper level conveniently by applying a noise-reduction ratio to the data set thereby the possibility of false positive may be reduced effectively. According to the present invention, the calibrated data set is obtained by using the noise-reduction ratio, so that the noise level of a data set is reduced without change of signal ratio between the data point in the data set.

Abstract: Synthetic cremastranone and cremastranone analogs are disclosed. Additionally, methods for synthesizing cremastranone and cremastranone analogs are disclosed. Methods of treating ocular neovascularization disorders and treating angiogenesis-mediated disease are also disclosed.

Abstract: The present invention relates to extraction of a signal for a target nucleic acid sequence from signals for two target nucleic acid sequences in a sample. The present invention can contribute to dramatic improvement in methods for detecting target nucleic acid sequences using different detection temperatures and reference values. The present invention using an amended reference value as well as an initial reference value can lead to increasing the detection accuracy in methods for detecting target nucleic acid sequences using different detection temperatures and reference values.

Abstract: The present invention relates to a method for calibrating a data set of a target analyte in a sample, wherein a normalization coefficient for calibrating the data set is provided by using a reference value, a reference cycle and the data set, and the calibrated data set is obtained by applying the normalization coefficient to the signal values of the data set. The present method is very effective in removing the inter- and intra-instrument signal variations of data sets. Furthermore, since the present method can be configured in software, the instant method is capable of being applied universally to various analytical instruments (e.g., a real-time PCR instrument) regardless of manufacturer. Accordingly, the method by the present invention would be very useful in diagnostic data analysis.

Abstract: Synthetic cremastranone and cremastranone analogs are disclosed. Additionally, methods for synthesizing cremastranone and cremastranone analogs are disclosed. Methods of treating ocular neovascularization disorders and treating angiogenesis-mediated disease are also disclosed.

Abstract: Synthetic cremastranone and cremastranone analogs are disclosed. Additionally, methods for synthesizing cremastranone and cremastranone analogs are disclosed. Methods of treating ocular neovascularization disorders and treating angiogenesis-mediated disease are also disclosed.