Abstract: The present invention provides compositions and their use in diagnosing and/or distinguishing inflammatory bowel disease and irritable bowel syndrome.

Abstract: Methods and devices, including methods and devices for estimating classifier performance such as generalization performance, are disclosed. One method includes providing multiple samples. Each sample is characterized by one or more features. This method also includes associating a feature variability with at least one of the one or more features on a feature-by-feature basis; and computing a first probability of misclassification by a first classifier using the feature variability. Devices, including integrated circuits (ICs) and field programmable gate arrays (FPGAs), that are configured for use in carrying out the present methods are also disclosed.

Abstract: The present invention provides novel compositions and their use in classifying acute myelogenous leukemia.

Abstract: The present invention provides novel compositions and their use in classifying gliomas. In a preferred embodiment, the methods are used to discriminate between oligodendroglioma and glioblastoma.

Abstract: The present invention provides compositions and their use in diagnosing and/or distinguishing inflammatory bowel disease and irritable bowel syndrome.

Abstract: The present invention provides compositions and their use in diagnosing and/or distinguishing inflammatory bowel disease and irritable bowel syndrome.

Abstract: The present invention provides compositions and their use in diagnosing and/or distinguishing inflammatory bowel disease and irritable bowel syndrome.

Abstract: Methods and devices, including methods and devices for estimating classifier performance such as generalization performance, are disclosed. One method includes providing multiple samples. Each sample is characterized by one or more features. This method also includes associating a feature variability with at least one of the one or more features; and computing a first probability of misclassification by a first classifier using the feature variability. Devices, including integrated circuits (ICs) and field programmable gate arrays (FPGAs), that are configured for use in carrying out the present methods are also disclosed.

Abstract: The present invention provides novel compositions and their use in classifying acute myelogenous leukemia.

Abstract: The present invention provides novel compositions and their use in classifying gliomas. In a preferred embodiment, the methods are used to discriminate between oligodendroglioma and glioblastoma.

Abstract: The present invention provides novel compositions and their use in classifying acute myelogenous leukemia.

Abstract: The present invention provides improved methods for in situ hybridization (ISH) comprising: (a) obtaining a tissue sample from a subject; (b) contacting the tissue sample with a fixative under conditions to cause fixation of the tissue sample; (c) contacting nucleic acids in the tissue sample with a detectable probe under conditions suitable to promote hybridization of the detectable probe to a target RNA in the tissue sample; (d) removing non-bound probe from the tissue sample; and (e) detecting the probe bound to the target RNA.