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2011-09-14 15:36 by kidzik | Version 1 | Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star
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Summary

Patients outcome prediction for central nervous system embryonal tumor.

License
unknown (from LibSVMTools repository)
Dependencies
Tags
biology biomedical nervous Regression system
Attribute Types
Integer,String
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# Instances: 60 / # Attributes: 7130
HDF5 (2.3 MB) XML CSV ARFF LibSVM Matlab Octave

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Completeness of this item currently: 66%.
Original Data Format
arff
Name
'changed
Version mldata
0
Comment
Names
AFFX-BioB-5_at,AFFX-BioB-M_at,AFFX-BioB-3_at,AFFX-BioC-5_at,AFFX-BioC-3_at,AFFX-BioDn-5_at,AFFX-BioDn-3_at,AFFX-CreX-5_at,AFFX-CreX-3_at,AFFX-BioB-5_st,
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)
    AFFX... AFFX... AFFX... AFFX... AFFX... AFFX... AFFX... AFFX... AFFX... AFFX... ...
    -60 -109 45 22 7 -61 -211 -102 -20 98 ...
    -159 -113 -62 -16 -160 -395 97 -157 15 -8 ...
    -119 -31 4 -11 -197 -541 -277 -166 17 392 ...
    41 9 -256 370 -302 -680 254 31 186 358 ...
    -165 -57 171 216 -692 -381 762 -6 44 216 ...
    -66 -123 57 -84 -129 -100 73 -147 27 10 ...
    -28 -42 -142 113 -315 -399 352 -248 104 195 ...
    -6 238 110 -103 -311 -358 -40 -258 -23 244 ...
    -106 -169 -39 170 -113 -286 -478 -86 -70 -113 ...
    -60 -90 25 30 -48 -156 62 -74 33 85 ...
    ... ... ... ... ... ... ... ... ... ... ...
Description

Patients outcome prediction for central nervous system embryonal tumor. Only dataset C mentioned in the paper that is used to analyse the outcome of the treatment is provided here. Survivors are patients who are alive after treatment whiles the failures are those who succumbed to their disease. The data set contains 60 patient samples, 21 are survivors (labelled as "Class1") and 39 are failures (labelled as "Class0"). There are 7129 genes in the dataset.

URLs
http://datam.i2r.a-star.edu.sg/datasets/krbd/NervousSystem/NervousSystem.html
Publications
    Data Source
    Measurement Details
    Usage Scenario
    revision 1
    by kidzik on 2011-09-14 15:36

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    Acknowledgements

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