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Colorectal Cancer Incidence Prediction Model
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10 Jun 2008 | Tools | Contributor(s): Eric Sherer, Mohd Haziq Rahmad
Stochastic simulation of polyp and colorectal cancer (CRC) incidence with patient age.
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.
17 May 2008 | Tools | Contributor(s): Nicholas Kisseberth
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.
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
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.
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
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