Public Archive Data


  • Summary: Biopsy samples of diffuse large-B-cell lymphoma from 240 patients were examined for gene expression with the use of DNA mocoarrays and analyzed for genomic abnormalities.
    License: unknown (from UCI repository)
    Tags: dlbcl NIH
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (14.1 MB) XML CSV ARFF LibSVM Matlab Octave
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  • Summary: There are two kinds of classifications about diffuse large b-cell lymphoma (DLBCL) addressed in the publication.
    Data Shape: 7130 attributes, 58 instances (Integer,String)
    License: unknown (from UCI repository)
    Tags: dlbcl Harvard lymphoma outcome
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (2.2 MB) XML CSV ARFF LibSVM Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: There are two kinds of classifications about diffuse large b-cell lymphoma (DLBCL) addressed in the publication.
    Data Shape: 7130 attributes, 77 instances (Integer,String)
    License: unknown (from UCI repository)
    Tasks / Methods / Challenges: 1 tasks, 0 methods, 0 challenges
    Download: HDF5 (2.7 MB) XML CSV ARFF LibSVM Matlab Octave
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  • Summary: Contains parsed webpages along with their topics extracted from DMOZ web directory
    Data Shape: 10630 attributes, 2658 instances ()
    License: unknown
    Tags: bag-of-words Classification DMOZ libsvm multi-class text web-pages
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (4.1 MB) XML CSV ARFF LibSVM Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: (No information yet)
    Data Shape: 181 attributes, 10372 instances ()
    License: unknown (from LibSVMTools repository)
    Tags: libsvm LibSVMTools slurped
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (2.8 MB) XML CSV ARFF LibSVM Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: (No information yet)
    Data Shape: 33 attributes, 195 instances (Floating Point)
    License: unknown (from Weka repository)
    Tags: arff slurped Weka
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (60.8 KB) XML CSV ARFF LibSVM Matlab Octave
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  • Summary: (No information yet)
    Data Shape: 1143 attributes, 37 instances (Integer,Floating Point)
    License: unknown (from Weka repository)
    Tags: arff slurped Weka
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (437.2 KB) XML CSV ARFF LibSVM Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: (No information yet)
    Data Shape: 1143 attributes, 34 instances (Integer,Floating Point)
    License: unknown (from Weka repository)
    Tags: arff slurped Weka
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (404.5 KB) XML CSV ARFF LibSVM Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: (No information yet)
    Data Shape: 1143 attributes, 32 instances (Integer,Floating Point)
    License: unknown (from Weka repository)
    Tags: arff slurped Weka
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (366.3 KB) XML CSV ARFF LibSVM Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: (No information yet)
    Data Shape: 1143 attributes, 26 instances (Integer,Floating Point)
    License: unknown (from Weka repository)
    Tags: arff slurped Weka
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (300.0 KB) XML CSV ARFF LibSVM Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

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Acknowledgements

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