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2011-09-14 14:35 by kidzik | Version 1 | Rating

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Summary: 86 primary lung adenocarcinomas samples and 10 non-neoplastic lung samples are included. Each sample is described by 7129 genes.
License: unknown (from UCI repository)
Dependencies
Tags: cancer lung michigan tumor
Attribute Types: Integer,Floating Point,String
Download: # Instances: 96 / # Attributes: 7130
HDF5 (6.3 MB) XML CSV ARFF LibSVM Matlab Octave
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Completeness of this item currently: 77%.

Original Data Format

Name

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Names

A28102_at,AB000114_at,AB000115_at,AB000220_at,AB000381_s_at,AB000409_at,AB000410_s_at,AB000449_at,AB000450_at,AB000460_at,

Types

numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric

Data (first 10 data points)

A281...	AB00...	AB00...	AB00...	AB00...	AB00...	AB00...	AB00...	AB00...	AB00...	...
170.0	69	250	957	25	471.2	-52.0	42.8	200	846.4	...
59.7	18	146	186	-7	309.0	-99.0	57.9	151	722.8	...
80.0	26	150	340	-16	225.7	23.5	69.4	207	515.1	...
92.4	96	177	515	18	296.6	48.5	60.4	151	819.1	...
104.0	72	228	540	26	264.1	-10.0	56.4	145	674.4	...
88.0	138	115	616	9	371.9	49.2	37.2	149	618.9	...
69.7	11	177	380	21	291.0	-62.5	99.0	238	936.2	...
230.0	176	511	523	32	664.2	-17.1	295.0	607	1388.1	...
105.0	78	233	602	24	471.6	20.0	78.1	300	732.1	...
53.7	36	393	160	27	407.3	-4.4	94.2	411	959.1	...
...	...	...	...	...	...	...	...	...	...	...

Description

86 primary lung adenocarcinomas samples and 10 non-neoplastic lung samples are included. Each sample is described by 7129 genes.

URLs

http://datam.i2r.a-star.edu.sg/datasets/krbd/LungCancer/LungCancer-Michigan.html

Publications

Data Source

http://datam.i2r.a-star.edu.sg/datasets/krbd/LungCancer/LungCancer-Michigan.html

Measurement Details

Usage Scenario

revision 1: by kidzik on 2011-09-14 14:35

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This item was downloaded 11250 times and viewed 9210 times.

Tasks defined on dataset Lung Cancer (Michigan)

Lung Cancer classification 2011-09-15 19:36

Data

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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.

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Acknowledgements

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

http://www.pascal-network.org/.