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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
  12. metabolomics
  13. visual analytics
  14. global proteomics
  15. lipidomics
  16. cceHUB
  17. peptide synthesis
  18. cancer care engineering
  19. diet
  20. peptides
  21. XCT PLUS
  22. tool:workspace
  23. alignment
  24. multi-agent based modeling
  25. cancer care systems

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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

    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

    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

    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

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

    Workspace

  5. Spectrum Deconvolution of LC-MS Data

    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

    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

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

    Visual exploration of GCxGC MS Data

  8. Normalization of Aligned LC-MS Data

    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

    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

    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.