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The following are top-rated resources of this type.

  1. Predicting Patient-specific CRC Incidence from Polyp Prevalence

    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

    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

    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

    29 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 Modelling

    01 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. Lipidomics Analysis Process

    14 Oct. 2008 | Teaching Materials

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

  7. Statistical Modeling of OMIC Data

    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

    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.