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The following are top-rated resources of this type.

  1. Predicting Patient-specific CRC Incidence from Polyp Prevalence

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    17 Jun. 2008 | Teaching Materials | Contributor(s): Eric Sherer

    Seminal work on CRC incidence modeling argued that the slope of the linear log-log CRC incidence with age implies that 6 or 7 somatic mutations are required for transformation to CRC. Subsequent modeling efforts have built on this theme by using models of linear, sequential transformations for …

  2. Visual Analytics for Cancer Care Engineering

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    29 Aug. 2008 | Teaching Materials | Contributor(s): David Ebert

    The Purdue University Regional Visualization and Analytics Center (PURVAC) presents a visual analytics tool for analyzing GCxGC TOF Mass Spectrometry data for metabolomics samples.

  3. A Hierarchical System Based Approach to Improving Cancer Care

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    29 Aug. 2008 | Teaching Materials | Contributor(s): Ann Christine Catlin

    The presentation title is "Developing a Hierarchical System Based Approach to Improving Cancer Care: Establishing an Indiana Prototype for Next-generation Colorectal Cancer Care". The Cancer Care Engineering (CCE) hierarchy of projects proposes a methology for improving cancer care and directing …

  4. Cancer Care Engineering of Colorectal Cancer – OMICs Pilot Study

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    30 Sep. 2008 | Teaching Materials | Contributor(s): Julie Nagel

    Protocol IUCRO-0221 submitted to the Scientific Review Committee of the Indiana University Simon Cancer Center Institutional Review Board on February 28, 2008.Gabi Chiorean, M.D.

  5. Introduction to Population Balance Modeling

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    02 Oct. 2008 | Teaching Materials | Contributor(s): Eric Sherer

    This presentation gives an overview of the role and applications of population balance (or structured) models in describing biological phenomenon. These models represent the continuum between purely empirical models and mechanistic models where details are often lumped into the structured …

  6. Example Computations for Ion Detection

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    17 Oct. 2008 | Teaching Materials | Contributor(s): Zhenwen Zhao

    The excel spreadsheet describes the lipidomics analysis process for negative and positive ion detection applied to five samples.

  7. Statistical Modeling of OMIC Data

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    30 Oct. 2008 | Teaching Materials | Contributor(s): Min Zhang

    This presentation describes the statistical modeling work of Professor Min Zhang. A discussion of statistical methods for identifying biomarkers is presented first, including Classical methods and Bayesian and Regularized Variable Selection methods. Next, the alignment of GCxGC MS data using the …

  8. cceHUB: A Knowledge Discovery Environment for Cancer Care Engineering Research

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    19 Nov. 2008 | Teaching Materials | Contributor(s): Ann Christine Catlin

    Ann Christine Catlin presented this overview of cceHUB.org (powered by the HUBzero™ platform) at the first HUBzero™ Workshop.

  9. Building a Data Support Infrastructure for the Cancer Care Engineering OMIC Study

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    10 Apr. 2009 | Teaching Materials | Contributor(s): Ann Christine Catlin

    OMIC profiles hold enormous promise for transforming our understanding of biological processes and revealing the underlying biological mechanisms, especially the functional and interactive networks contributing to complex biological systems. Rapid advances in large scale OMIC analyses have produced …