University of Michigan

Duke University

Alfred Hero

Geoffrey S Ginsburg

Christopher W Woods

Paul Langford Carson

Joseph E Lucas

Lawrence L Carin

Charles Raymond Meyer

Huzefa Neemuchwala

William W Finn

Raviv Raich

Aimee K Zaas

Kevin Carter

Methods of identifying infectious disease infection prior to presentation of symptoms, assays for identifying genomic markers of infectious disease, and methods for diagnosing the underlying etiology of infectious disease.

Methods of identifying infectious disease and assays for identifying infectious disease

A computer implemented method is provided for clustering and visualization of an n-dimensional space in a Euclidean space. The method includes: collecting a plurality of multi-dimensional data sets; estimating a probability density function from each data set; approximating a dissimilarity between every pair of said probability density functions and recording every dissimilarity in a dissimilarity matrix; embedding the dissimilarity matrix into a Euclidean space having a dimensionality of three or less using a multi-dimensional scaling method; and graphically displaying relationships between data sets using data in the Euclidean space on a display of a computing device.

Method and apparatus for clustering and visualization of multicolor cytometry data

A method determines alignment of images in high dimensional feature space. The method comprises registering a source image of a reference modality to a target image of a second modality with an algorithm based upon a measure of information affinity present in both of the source and target image to create a registered image. Next, a plurality of feature vector are extracted from the registered image for each of the source and target images and attributes of the joint distribution of feature vector are captured using an entropic graph spanning the features. Edge lengths are between proximal feature vectors are extracted from the entropic graph and a similarity measure of one of an &#x3b1;-divergence estimate or an &#x3b1;-affinity estimate is constructed based upon these edge lengths to quantify whether the source and target image are sufficiently registered.

Method of determining alignment of images in high dimensional feature space

Growing community of inventors

Ann Arbor, MI, United States of America

Alfred Hero