Abstract: The present invention provides methods and systems for developing profiles of a biological system based on the discernment of similarities, differences, and/or correlations between biomolecular components of a plurality of biological samples. Preferably, the method comprises utilizing hierarchical multivariate analysis of spectrometric data at one or more levels of correlation.

Abstract: The present invention provides a method for determining the impact of a multicomponent natural product mixture on the biological profile of a disease comprising the steps of: (a) determining a biological profile of the disease by comparing the biological profile of a group of living systems with symptoms of the disease with the biological profile of a reference (or healthy) group of living systems, using a multivariate analysis; (b) determining the impact of a series of samples of the multicomponent mixture on the biological profile of the disease, in which samples the concentrations of one or more natural components or groups of natural components differ, using a multivariate analysis; (c) determining the composition of the samples of the multicomponent mixture that have shown in step (b) a desired impact on the biological profile of the disease, using a multivariate analysis; (d) identifying within the compositions as determined in step (c) the effective components or groups of components and their respecti

Abstract: Method and system for processing and evaluating data from combination chromatographic and mass spectrometric data. The methods and system comprise data smoothing and determination of an quality factor for a chromatogram of a data set based on a determined entropy value. In one embodiment, the methods and system further comprise data baseline correction prior to entropy value determination. In a further embodiment, a correlation is determined between chromatograms processed according to the invention and one or more chromatograms of one or more data sets. Preferably, said correlation is performed using a multivariate analysis.

Abstract: The present invention provides methods and systems for developing profiles of a biological system based on the discernment of similarities, differences, and/or correlations between biomolecular components, of a single biomolecular component type, of a plurality of biological samples. Preferably, the method comprises utilizing hierarchical multivariate analysis of spectrometric data at one or more levels of correlation.

Abstract: The present invention provides methods and systems for developing profiles of a biological system based on the discernment of similarities, differences, and/or correlations between biomolecular components, of a single biomolecular component type, of a plurality of biological samples. Preferably, the method comprises utilizing hierarchical multivariate analysis of spectrometric data at one or more levels of correlation.

Abstract: Methods and systems are disclosed for developing profiles of a state of a biological system based on the discernment of similarities, differences, and/or correlations between a plurality of data sets that are derived from one or more biomolecular component types, one or more biological sample types, and/or one or more types of measurements.

Abstract: Method and system for processing and evaluating data from combination chromatographic and mass spectrometric data. The methods and system comprise data smoothing and determination of an quality factor for a chromatogram of a data set based on a determined entropy value. In one embodiment, the methods and system further comprise data baseline correction prior to entropy value determination. In a further embodiment, a correlation is determined between chromatograms processed according to the invention and one or more chromatograms of one or more data sets. Preferably, said correlation is performed using a multivariate analysis.

Abstract: Method and system for processing and evaluating data from combination chromatographic and mass spectrometric data. The methods and system comprise data smoothing and determination of an quality factor for a chromatogram of a data set based on a determined entropy value. In one embodiment, the methods and system further comprise data baseline correction prior to entropy value determination. In a further embodiment, a correlation is determined between chromatograms processed according to the invention and one or more chromatograms of one or more data sets. Preferably, said correlation is performed using a multivariate analysis.

Abstract: The present invention provides methods and systems for developing profiles of a biological system based on the discernment of similarities, differences, and/or correlations between biomolecular components, of a single biomolecular component type, of a plurality of biological samples. Preferably, the method comprises utilizing hierarchical multivariate analysis of spectrometric data at one or more levels of correlation.

Abstract: Method and system for processing and evaluating data from combination chromatographic and mass spectrometric data. The methods and system comprise data smoothing and determination of an quality factor for a chromatogram of a data set based on a determined entropy value. In one embodiment, the methods and system further comprise data baseline correction prior to entropy value determination. In a further embodiment, a correlation is determined between chromatograms processed according to the invention and one or more chromatograms of one or more data sets. Preferably, said correlation is performed using a multivariate analysis.

Abstract: The present invention relates to an on-line detection method comprising the on-line coupling of a fractionation and a biochemical detection technique, which method comprises the addition of a controlled amount of an affinity molecule to the effluent of the fractionation step to react with analytes in the effluent, the subsequent addition of a controlled amount of a detectable ligand capable of binding to the affinity molecule, and detection of the affinity molecule/detectable ligand complex.