Abstract: Methods of assessing or obtaining an indication of the presence of a cognitive disorder by analysing microstructural changes in regions of the brain are provided. The invention particularly relates to methods of assessing or obtaining an indication of the presence of types of dementia, for example Alzheimer's disease, by analysing changes in minicolumns in regions or layers of the cortex of the brain or of the whole brain.

Abstract: A method and apparatus for cloud infrastructure voting to optimize usage of the cloud infrastructure are provided. The method determines the need to access a database or cloud services within a cloud infrastructure, determining a time of that need to access the database or cloud services within the cloud infrastructure. Access to the database or cloud services within the cloud infrastructure is determined based on the time of the need to access the database or cloud services using predetermined access rules. The apparatus provides a voter and user information database that contains the predetermined access rules for accessing the cloud infrastructure.

Abstract: A method includes receiving proteomic data for each of a plurality of identified post-translational modification (PTM) sites. A pairwise correlation of co PTM is computed among each respective pair of the identified PTM sites. The method also includes generating a co-PTM network based on each pairwise correlation to describe co PTM characteristics for the identified PTM sites. The method also includes predicting enzyme-substrate associations for each of the plurality of identified PTM sites based on the co-PTM network and a set of predetermined enzyme-substrate associations.

Abstract: A method for characterizing the risk a subject will develop an autoimmune and/or alloimmune disease following tissue transplant includes obtaining a biological sample from the subject, wherein the subject has received the tissue transplant determining in the biological sample a level of at least one protein selected from Tables 1-4, comparing the measured level of the at least one protein to a control value, and characterizing a subject as at greater risk of developing an autoimmune disease and/or alloimmune disease if the level of at least one protein determined is increased or decreased compared to the control value.

Abstract: A method and apparatus for cloud infrastructure voting to optimize usage of the cloud infrastructure are provided. The method determines the need to access a database or cloud services within a cloud infrastructure, determining a time of that need to access the database or cloud services within the cloud infrastructure. Access to the database or cloud services within the cloud infrastructure is determined based on the time of the need to access the database or cloud services using predetermined access rules. The apparatus provides a voter and user information database that contains the predetermined access rules for accessing the cloud infrastructure.

Abstract: The present invention relates to a method of diagnosing a renal disorder. The method includes the steps of: (1) obtaining a biological sample from a subject; and (2) determining, in the biological sample, a level of one or more proteins whose abundance in urine change due to the renal disorder, wherein an increase or decrease in the level of one or more of the proteins compared to a control level is indicative of a renal disorder.

Abstract: A method for characterizing the risk a subject will develop an autoimmune and/or alloimmune disease following tissue transplant includes obtaining a biological sample from the subject, wherein the subject has received the tissue transplant determining in the biological sample a level of at least one protein selected from Tables 1-4, comparing the measured level of the at least one protein to a control value, and characterizing a subject as at greater risk of developing an autoimmune disease and/or alloimmune disease if the level of at least one protein determined is increased or decreased compared to the control value.

Abstract: A method for characterizing the risk a subject will develop an autoimmune and/or alloimmune disease following tissue transplant includes obtaining a biological sample from the subject, wherein the subject has received the tissue transplant determining in the biological sample a level of at least one protein selected from Tables 1-4, comparing the measured level of the at least one protein to a control value, and characterizing a subject as at greater risk of developing an autoimmune disease and/or alloimmune disease if the level of at least one protein determined is increased or decreased compared to the control value.

Abstract: A method for characterizing the risk a subject will develop an autoimmune and/or alloimmune disease following tissue transplant includes obtaining a biological sample from the subject, wherein the subject has received the tissue transplant determining in the biological sample a level of at least one protein selected from Tables 1-4, comparing the measured level of the at least one protein to a control value, and characterizing a subject as at greater risk of developing an autoimmune disease and/or alloimmune disease if the level of at least one protein determined is increased or decreased compared to the control value.

Abstract: A method for characterizing the risk a subject will develop an autoimmune and/or alloimmune disease following tissue transplant includes obtaining a biological sample from the subject, wherein the subject has received the tissue transplant determining in the biological sample a level of at least one protein selected from Tables 1-4, comparing the measured level of the at least one protein to a control value, and characterizing a subject as at greater risk of developing an autoimmune disease and/or alloimmune disease if the level of at least one protein determined is increased or decreased compared to the control value.

Abstract: Systems and methods of selecting combinatorial coordinately dysregulated biomarker subnetworks are provided. In one embodiment, a method comprises comparing the normalized gene expression data to a predetermined threshold to provide binary gene expression data associated with phenotype samples and control samples, analyzing subnetwork states of the binary gene expression data associated with phenotype samples and control samples to identify gene expression patterns that occur in phenotype samples and do not occur in control samples and identifying a subnetwork that provides gene expression patterns indicative of a sample being a phenotype sample.

Abstract: The present invention relates to a method of diagnosing a renal disorder. The method includes the steps of: (1) obtaining a biological sample from a subject; and (2) determining, in the biological sample, a level of one or more proteins whose abundance in urine change due to the renal disorder, wherein an increase or decrease in the level of one or more of the proteins compared to a control level is indicative of a renal disorder.

Abstract: A method for characterizing the risk a subject will develop an autoimmune and/or alloimmune disease following tissue transplant includes obtaining a biological sample from the subject, wherein the subject has received the tissue transplant determining in the biological sample a level of at least one protein selected from Tables 1-4, comparing the measured level of the at least one protein to a control value, and characterizing a subject as at greater risk of developing an autoimmune disease and/or alloimmune disease if the level of at least one protein determined is increased or decreased compared to the control value.

Abstract: Systems and methods of analyzing two dimensional gels are provided, in one embodiment, a method is provided for analyzing a 2-dimensi?nal gel. The method comprises receiving a first image of a gel based on a first protein sample labeled with a first fluorophore, receiving a second image of the gel based on a second protein sample labeled with a second fluorophore, applying linear normalization to image intensity values of the second image to provide a linear normalized image, and comparing image intensity values of the linear normalized image from image intensity values of the first image to provide a compared image.