Data
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Leukemia (ALL V.S. AML) - submitted by kidzik 18 views, 128 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 18 views, 69 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 16 views, 87 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.
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/.