Public Archive Data
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Leukemia (Stjude data) - submitted by kidzik 23 views, 1770 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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DLBCL (NIH) - submitted by kidzik 3986 views, 9500 downloads, 0 comments
last edited by kidzik - Sep 7, 2011, 10:30 CET Rating
- 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
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- 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.
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Prostate Cancer - submitted by kidzik 20 views, 3086 downloads, 0 comments
last edited by kidzik - Sep 5, 2011, 18:27 CET Rating
- Summary:
(A) Tumor versus Normal classification. (B) Prediction of clinical outcome
- License: unknown (from UCI repository)
- Tags: cancer Prediction prostate tumor
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: zip (4.8 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
(A) Tumor versus Normal classification. (B) Prediction of clinical outcome
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Sequence Data - Polya Signal - submitted by kidzik 34 views, 1485 downloads, 0 comments
last edited by kidzik - Sep 5, 2011, 18:21 CET Rating
- Summary:
This data set is converted from sequence data and aims to predict the polyadenylation signals (PAS) in human seuquences.
- License: unknown (from UCI repository)
- Tags: polya
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: zip (1.7 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
This data set is converted from sequence data and aims to predict the polyadenylation signals (PAS) in human seuquences.
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bee - submitted by cong 311 views, 1586 downloads, 0 comments
last edited by cong - Jun 20, 2011, 10:55 CET Rating
- Summary:
bee data from Ryan Turner
- License: PDDL
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: zip (56.1 KB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
bee data from Ryan Turner
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caltech101-30 - submitted by cong 558 views, 4305 downloads, 0 comments
last edited by cong - May 1, 2011, 13:55 CET Rating
- Summary:
Kernel matrix for Caltech 101, with 30 examples per class for training
- License: CC0
- Tags: caltech Kernel Output
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: matlab (60.4 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
Kernel matrix for Caltech 101, with 30 examples per class for training
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Protein Fold Prediction ucsd-mkl - submitted by hzahn 573 views, 2037 downloads, 0 comments
last edited by hzahn - Feb 28, 2011, 14:57 CET Rating
- Summary:
multy kernel learning dataset on protein fold prediction
- License: unknown (from UCI repository)
- Tags: multi-class multi-kernel protein-fold-prediction
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: unknown (793.6 KB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
multy kernel learning dataset on protein fold prediction
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Pendigits_UCSD_MKL - submitted by hzahn 597 views, 1550 downloads, 0 comments
last edited by hzahn - Feb 24, 2011, 06:59 CET Rating
- Summary:
data set on pen-based digits
- License: unknown (from UCI repository)
- Tags: conversion_failed handwritten_digits
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: octave (7.7 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
data set on pen-based digits
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Spat. Interp. Comparison 2004 - submitted by cong 382 views, 2054 downloads, 0 comments
last edited by cong - Jan 4, 2011, 18:21 CET Rating
- Summary:
Spatial Interpolation Comparison 2004, a geostatistical data set. Automatic mapping with prior knowledge in situations of routine and emergency
- License: CC0
- Tags: comparison geostatistics GIS interpolation spatial
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: zip (437.9 KB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
Spatial Interpolation Comparison 2004, a geostatistical data set. Automatic mapping with prior knowledge in situations of routine and emergency
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/.