View Drug-datasets chang (public)

2011-09-14 14:35 by mldata | Version 1 | Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star
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Summary

(No information yet)

License
unknown (from Weka repository)
Dependencies
Tags
arff slurped Weka
Attribute Types
Integer,Floating Point
Download
# Instances: 34 / # Attributes: 1143
HDF5 (404.5 KB) XML CSV ARFF LibSVM Matlab Octave

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Original Data Format
arff
Name
chang2
Version mldata
0
Comment
Names
oz1,oz2,oz3,oz4,oz5,oz6,oz7,oz8,oz9,oz10,
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)
    oz1 oz2 oz3 oz4 oz5 oz6 oz7 oz8 oz9 oz10 ...
    0.31... 0.0 0.00... 0.0 0.0 0 0.05... 0.05... 0.09... 0.04... ...
    0.58... 0.99... 0.11... 0.0 1.0 0 0.16... 0.15... 0.18... 0.13... ...
    0.40... 0.56... 0.08... 1.0 0.33... 0 0.16... 0.15... 0.18... 0.13... ...
    0.84... 0.83... 0.47... 0.5 1.0 0 0.66... 0.63... 0.66... 0.52... ...
    0.94... 0.26... 0.73... 0.5 0.33... 0 0.88... 0.89... 0.90... 0.84... ...
    0.79... 0.63... 0.73... 0.5 0.66... 0 0.94... 0.89... 1.0 1.0 ...
    0.54... 0.57... 0.37... 0.0 0.66... 0 0.38... 0.36... 0.39... 0.30... ...
    0.38... 0.99... 0.13... 0.0 1.0 0 0.0 0.0 0.0 0.0 ...
    0.20... 0.56... 0.10... 1.0 0.33... 0 0.0 0.0 0.0 0.0 ...
    0.45... 0.63... 0.35... 0.5 0.66... 0 0.27... 0.26... 0.27... 0.21... ...
    ... ... ... ... ... ... ... ... ... ... ...
Description

A zip file containing 41 drug design datasets formed using the Adriana.Code software - www.molecular-networks.com/software/adrianacode - donated by Dr. M. Fatih Amasyali (Yildiz Technical Unversity) (Drug-datasets.zip, 11,376,153 Bytes)

URLs
(No information yet)
Publications
    Data Source
    http://www.molecular-networks.com/software/adrianacode http://www.ce.yildiz.edu.tr/en/myindex.php?id=14 http://www.ce.yildiz.edu.tr/
    Measurement Details
    Usage Scenario
    revision 1
    by mldata 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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