View Ovarian cancer classification (public)

2011-09-15 18:41 by kidzik | Version 5 | Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star
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Summary

The goal of this experiment is to identify proteomic patterns in serum that distinguish ovarian cancer from non-cancer

License
CC-BY-SA 3.0
Tags
cancer Classification ovarian
Input format

Gene expression

Output format

class: Cancer or Normal

Performance Measure
Accuracy
Type
Binary Classification
Data
Ovarian Cancer (NCI PBSII Data)
Download
HDF5 (129.1 KB) XML Matlab Octave
Completeness of this item currently: 80%.
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Input Variables
0:15154
Output Variables
15154
Datasplits
NrSplitimage
0
NrTrain IndicesValidation IndicesTest Indices
0 0:80, 100:253 80:100

We use python style indices
Description

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URLs
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Publications
    revision 1
    by kidzik on 2011-09-15 18:31
    revision 2
    by kidzik on 2011-09-15 18:33
    revision 3
    by kidzik on 2011-09-15 18:40
    revision 4
    by kidzik on 2011-09-15 18:40
    revision 5
    by kidzik on 2011-09-15 18:41

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    Acknowledgements

    This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
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    http://www.pascal-network.org/.