Metabolon, Inc.

Icoria, Inc.

Iroa Technologies, LLC

Christopher William Beecher

Kay A Lawton

Matthew W Mitchell

Thomas Henry Barrett, Jr

Sidney Stanley Young

Stephanie Winfield

Norman Glassbrook

Yasmin Ranasinghe

David Broadwell

Ioana Popa-Burke

Gordon James Nye

Methods for identifying and evaluating suites of biochemical and/or gene entities useful as biomarkers for early prediction of prostate cancer, disease grading, target identification/validation, and monitoring of drug efficacy are provided. Also provided are suites of small molecule entities as biomarkers for prostate cancer.

Biomarkers for prostate cancer and methods using the same

A system is provided for analyzing metabolomics data received from an analytical device across a group of samples. The system automatically receives a data matrix corresponding to each of the samples, wherein the data matrix includes rows corresponding to each of the samples and columns corresponding to a group of ions present in the respective samples. A processor is provided for determining a characteristic value corresponding to at least one of a group of components present in the samples, wherein the components are made up of at least a portion of the group of ions, using at least one of a correlation function and a factorization function. A user interface is in communication with the processor for displaying a visual indication of the characteristic value such that a user may receive a visual indication of the types of components present in the samples.

System, method, and computer program product for analyzing spectrometry data to identify and quantify individual components in a sample

The present invention provides methods and systems for organizing complex and disparate data. More specifically, the present invention provides methods and systems for organizing complex and disparate data into coherent data sets. Coherent data sets resulting from the methods and systems of the present invention serve as models for biological systems. Methods and systems for integrating data and creating coherent data sets are useful for numerous biological applications, such as, for example, determining gene function, identifying and validating drug and pesticide targets, identifying and validating drug and pesticide candidate compounds, profiling drug and pesticide compounds, producing a compilation of health or wellness profiles, determining compound site(s) of action, identifying unknown samples, and numerous other applications in the agricultural, pharmaceutical, forensic, and biotechnology industries.

Methods and systems for analyzing complex biological systems

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Chapel Hill, NC, United States of America

Christopher William Beecher