View Lung cancer (Ontario) (public)

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Summary

Gene expression data on tumor specimens from a total of 39 NSCLC samples.

License
unknown (from UCI repository)
Dependencies
Tags
cancer lung ontario
Attribute Types
Integer,Floating Point,String
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# Instances: 39 / # Attributes: 2881
HDF5 (1.1 MB) XML CSV ARFF LibSVM Matlab Octave

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Completeness of this item currently: 77%.
Original Data Format
h5
Name
'changed
Version mldata
0
Comment
Names
A588029,A417978,A382829,A376627,A259279,A324734,A429708,A322193,A503131,A277496,
Types
  1. numeric
  2. numeric
  3. numeric
  4. numeric
  5. numeric
  6. numeric
  7. numeric
  8. numeric
  9. numeric
  10. numeric
Data (first 10 data points)
    A588... A417... A382... A376... A259... A324... A429... A322... A503... A277... ...
    0.195 0.2 0.13 0.17 0.14 0.13 0.165 0.27 0.215 0.24 ...
    0.375 0.19 0.145 0.32 0.28 0.23 0.12 0.235 0.225 0.265 ...
    1.78 0.38 1.61 1.62 0.385 0.44 0.33 7.89 0.37 1.49 ...
    0.645 0.495 0.46 0.485 0.575 0.405 0.415 0.6 0.62 0.285 ...
    0.665 0.66 0.59 0.73 0.44 0.695 0.605 0.57 0.265 0.73 ...
    0.815 0.6 0.45 0.61 0.63 0.415 0.475 0.64 0.78 0.46 ...
    2.31 1.26 0.935 2.665 1.445 1.405 1.165 2.025 1.295 1.445 ...
    10.035 15.905 10.565 11.295 13.275 19.04 15.6 11.25 10.715 16.28 ...
    2.79 1.96 1.32 3.07 1.275 2.115 1.78 3.48 1.1 2.62 ...
    0.165 0.295 0.25 0.24 0.265 0.27 0.32 0.18 0.25 0.325 ...
    ... ... ... ... ... ... ... ... ... ... ...
Description

Gene expression data on tumor specimens from a total of 39 NSCLC samples. Among these samples, 24 patients had experienced relapse of their tumor either locally or as a distant metastasis (labelled as "relapse"). The remaining 15 patients are disease-free based on both clinical and radiological testing (labelled as "non-relapse"). The processed data are described by 2880 genes.

URLs
http://datam.i2r.a-star.edu.sg/datasets/krbd/LungCancer/LungCancer-Ontario.html
Publications
    Data Source
    http://datam.i2r.a-star.edu.sg/datasets/krbd/LungCancer/LungCancer-Ontario.html
    Measurement Details
    Usage Scenario
    revision 1
    by kidzik on 2011-09-14 14:35

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    Acknowledgements

    This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
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