Abstract: The inventors have discovered a collection of proteinaceous biomarkers (“AD biomarkers) which can be measured in peripheral biological fluid samples to aid in the diagnosis of neurodegenerative disorders, particularly Alzheimer's disease and mild cognitive impairment (MCI). The invention further provides methods of identifying candidate agents for the treatment of Alzheimer's disease by testing prospective agents for activity in modulating AD biomarker levels.

Abstract: The inventors have discovered a collection of proteinaceous biomarkers (“AD biomarkers) which can be measured in peripheral biological fluid samples to aid in the diagnosis of neurodegenerative disorders, particularly Alzheimer's disease and mild cognitive impairment (MCI). The invention further provides methods of identifying candidate agents for the treatment of Alzheimer's disease by testing prospective agents for activity in modulating AD biomarker levels.

Abstract: The inventors have discovered a collection of proteinaceous biomarkers (“AD biomarkers) which can be measured in peripheral biological fluid samples to aid in the diagnosis of neurodegenerative disorders, particularly Alzheimer's disease and mild cognitive impairment (MCI). The invention further provides methods of identifying candidate agents for the treatment of Alzheimer's disease by testing prospective agents for activity in modulating AD biomarker levels.

Abstract: A computer-implemented relevance analyzer extracts content from a technical library and analyzes correlation of inter-term proximity with such content to find terms with strong correlation to a search term. The underlying premise is that two terms, which are found near similar other terms, are likely related to one another. Thus, a strong correlation in proximity relationships of the two terms is a strong indication of likely relation of the two terms.

Abstract: Displays of genetic and/or proteomic expression data can be visually correlated by a user analyzing such expression data. Generally, the user identifies expression data, such as a cluster, a gene, or a protein for example, using conventional user interface techniques. Once expression data are identified by the user, corresponding expression data is identified in other displays. Such corresponding expression data is determined by reference to expression metadata. For each of the other displays of expression data, the corresponding expression data of the other displays is determined according to the expression metadata of those other displays. Within each of those other displays, the corresponding expression data is highlighted within the display to identify the corresponding expression data to the user.

Abstract: Results of statistical clustering and/or correlation analysis of genetic or proteomic expression data such as microarrays, gene chips, or protein chips are used, e.g., as response variables, in further analysis of expression data. In particular, an array of expression data is clustered using a cluster tool to produce an array of expression clusters. Each of the expression clusters represents the same experiments represented by the original expression array. Accordingly, each cluster of the array is of the proper form to be used as a response variable of expression values. Using an expression cluster as a response variable for either supervising clustering or correlation analysis allows correlation between such an expression cluster and other expression data.