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  1. OMIC analysis
  2. colorectal cancer
  3. biomarker discovery
  4. health services research
  5. screening
  6. mass spectrometry
  7. proteomics
  8. proteome discovery pipeline
  9. statistical models
  10. population-based models
  11. sample acquisition
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  18. cancer care engineering
  19. diet
  20. peptides
  21. XCT PLUS
  22. tool:workspace
  23. alignment
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Resources: Tools

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Top Rated

The following are top-rated resources of this type.

  1. Colorectal Cancer Incidence Prediction Model

    0.0 out of 5 stars 

    16 Jun. 2008 | Tools | Contributor(s): Eric Sherer, Mohd Rahmad

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

  2. Classification and Alignment of GCxGC-MS Data

    0.0 out of 5 stars 

    02 Dec. 2008 | Tools | Contributor(s): Dabao Zhang, Min Zhang, Jason Catlin

    An OMIC data pre-processing tool for the M/Z classification and peak alignment of raw GCxGC-MS data.

  3. Monte Carlo Simulation for four CRC Incidence Models

    9.9 out of 5 stars 

    12 Dec. 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.

  4. Workspace

    0.0 out of 5 stars 

    27 Apr. 2009 | Tools | Contributor(s): Nicholas Kisseberth

    Workspace

  5. Spectrum Deconvolution of LC-MS Data

    9.9 out of 5 stars 

    03 Dec. 2008 | Tools | Contributor(s): Ann Christine Catlin, George Howlett

    Spectral deconvolution differentiates analyte signals from contaminants or instrumental noise, and reduces data dimensionality to benefit downstream statistical analysis.

  6. Peak Alignment of LC-MS Data

    0.0 out of 5 stars 

    24 Jun. 2009 | Tools | Contributor(s): Ann Christine Catlin, George Howlett

    Peak alignment addresses retention time shift by recongnizing and aligning significant peaks; it then uses discrete deconvolution to align overlapped peaks.

  7. OMIC Explorer

    0.0 out of 5 stars 

    16 Mar. 2009 | Tools | Contributor(s): Philip Livengood

    Visual exploration of GCxGC MS Data

  8. Normalization of Aligned LC-MS Data

    0.0 out of 5 stars 

    18 Jun. 2009 | Tools | Contributor(s): Ann Christine Catlin, George Howlett

    Normalization attempts to quantitatively filter overall peak intensity variations due to experiment errors such as systematic variable injection volumes loaded onto LC-MS.

  9. Significance Testing of Normalized LC-MS Data

    0.0 out of 5 stars 

    23 Jun. 2009 | Tools | Contributor(s): Ann Christine Catlin

    Several statistical significance tests are employed to identify peptide or metabolite peaks that either make significant contributions to the molecular profile of a sample or distinguish a group of samples from others.

  10. Pattern Recognition for Normalized LC-MS Data

    0.0 out of 5 stars 

    01 Jul. 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.