Resources: Tools

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Top Rated

  1. Colorectal Cancer Incidence Prediction Model

    10 Jun 2008 | Tools | Contributor(s): Eric Sherer, Mohd Haziq Rahmad

    Stochastic simulation of polyp and colorectal cancer (CRC) incidence with patient age.

  2. Monte Carlo Simulation for four Colorectal Cancer Incidence Models

    16 Jul 2008 | Tools | Contributor(s): Eric Sherer

    A Monte Carlo Simulator determines the risk of colorectal cancer (CRC) development in a population by calculating multiple, individual patient trajectories.

  3. Workspace

    17 May 2008 | Tools | Contributor(s): Nicholas Kisseberth

    Workspace

  4. Pattern Recognition for Normalized LC-MS Data

    12 Jan 2009 | Tools | Contributor(s): Ann Christine Catlin, George Howlett

    This tool provides principal component analysis (PCA), linear discriminate analysis (LDA), and canonical discriminate analysis (CDA) for data clustering on aligned, normalized LC-MS datasets.

  5. Visual Exploration of GCxGC-MS Data

    04 Feb 2010 | Tools | Contributor(s): Avin Pattath, David S. Ebert, Ann Christine Catlin

    Interactive visual analysis and exploration of GCxGC-MS data to identify potential biomarkes for disease susceptibility, treatment response and utlimate treatment outcome

  6. Patient-specific colorectal cancer prediction model

    26 Feb 2010 | Tools | Contributor(s): Eric Sherer

    This model predicts the likely findings of colonoscopy exams based on a patient's demographic characteristics and endoscopic history.

  7. PET2TET: Using PET to Predict Clinical Parameters of TET

    09 Sep 2015 | Tools | Contributor(s): Robert J Korst, Ann Christine Catlin, Min Ren, George Howlett

    Determine if SUVmax of the primary tumor can predict relevant clinical parameters of TET: 1. WHO class, 2. Masaoka stage, and 3. R0, R1 or R2 resection