Public Archive Data
Showing Items 291-300 of 873 on page 30 of 88: First Previous 25 26 27 28 29 30 31 32 33 34 35 Next Last
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letter - submitted by mldata 103 views, 6364 downloads, 0 comments
last edited by mldata - Nov 1, 2010, 11:43 CET Rating
- Summary:
(No information yet)
- Data Shape: 17 attributes, 35000 instances ()
- License: unknown (from LibSVMTools repository)
- Tags: libsvm LibSVMTools slurped
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (4.5 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)
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leukemia - submitted by mldata 189 views, 20103 downloads, 0 comments
last edited by mldata - Nov 1, 2010, 11:38 CET Rating
- Summary:
(No information yet)
- Data Shape: 7130 attributes, 72 instances ()
- License: unknown (from LibSVMTools repository)
- Tags: libsvm LibSVMTools slurped
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (3.9 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)
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Leukemia (ALL V.S. AML) - submitted by kidzik 43 views, 2825 downloads, 0 comments
last edited by kidzik - Sep 14, 2011, 15:38 CET Rating
- Summary:
Leukemia regression
- License: unknown (from UCI repository)
- Tags: all aml Classification Leukemia
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: zip (1.8 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
Leukemia regression
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Leukemia (Stjude data) - submitted by kidzik 23 views, 1773 downloads, 0 comments
last edited by kidzik - Sep 7, 2011, 11:09 CET Rating
- Summary:
This study is about classifying subtypes of pediatric acute lymphoblastic leukemia.
- License: unknown (from UCI repository)
- Tags: Leukemia stjude
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: zip (30.8 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
This study is about classifying subtypes of pediatric acute lymphoblastic leukemia.
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Leukemia MLL - submitted by kidzik 23 views, 2581 downloads, 0 comments
last edited by kidzik - Sep 7, 2011, 11:07 CET Rating
- Summary:
Training data contains 57 leukemia samples (20 ALL, 17 MLL and 20 AML). Testing data contains 4 ALL, 3 MLL and 8 AML samples. In the above publication, it mentioned only 3 AML testing samples.
- License: unknown (from UCI repository)
- Tags: all aml Classification Leukemia MLL
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: zip (3.5 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
Training data contains 57 leukemia samples (20 ALL, 17 MLL and 20 AML). Testing data contains 4 ALL, 3 MLL and 8 AML samples. In the above publication, it mentioned only 3 AML testing samples.
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liver-disorders - submitted by mldata 88 views, 5583 downloads, 0 comments
last edited by mldata - Nov 1, 2010, 11:38 CET Rating
- Summary:
(No information yet)
- Data Shape: 7 attributes, 345 instances ()
- License: unknown (from LibSVMTools repository)
- Tags: libsvm LibSVMTools slurped
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (29.4 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)
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liver-disorders_scale - submitted by mldata 72 views, 5356 downloads, 0 comments
last edited by mldata - Nov 1, 2010, 11:38 CET Rating
- Summary:
(No information yet)
- Data Shape: 7 attributes, 345 instances ()
- License: unknown (from LibSVMTools repository)
- Tags: libsvm LibSVMTools slurped
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (29.4 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)
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LSch - submitted by gabfer 5 views, 1156 downloads, 0 comments
last edited by gabfer - Dec 2, 2017, 21:07 CET Rating
- Summary:
(No information yet)
- License: unknown
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: zip (114.1 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
(No information yet)
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Lung Cancer (Michigan) - submitted by kidzik 9353 views, 11586 downloads, 0 comments
last edited by kidzik - Sep 14, 2011, 14:35 CET Rating
- Summary:
86 primary lung adenocarcinomas samples and 10 non-neoplastic lung samples are included. Each sample is described by 7129 genes.
- Data Shape: 7130 attributes, 96 instances (Integer,Floating Point,String)
- License: unknown (from UCI repository)
- Tags: cancer lung michigan tumor
- Tasks / Methods / Challenges: 1 tasks, 0 methods, 0 challenges
- Download: HDF5 (6.3 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:
86 primary lung adenocarcinomas samples and 10 non-neoplastic lung samples are included. Each sample is described by 7129 genes.
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Lung cancer (Ontario) - submitted by kidzik 5751 views, 9655 downloads, 0 comments
last edited by kidzik - Sep 14, 2011, 14:35 CET Rating
- Summary:
Gene expression data on tumor specimens from a total of 39 NSCLC samples.
- Data Shape: 2881 attributes, 39 instances (Integer,Floating Point,String)
- License: unknown (from UCI repository)
- Tags: cancer lung ontario
- Tasks / Methods / Challenges: 1 tasks, 0 methods, 0 challenges
- Download: HDF5 (1.1 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:
Gene expression data on tumor specimens from a total of 39 NSCLC samples.
Disclaimer
We are acting in good faith to make datasets submitted for the use of the scientific community available to everybody, but if you are a copyright holder and would like us to remove a dataset please inform us and we will do it as soon as possible.
Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.