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ZENODO
Dataset . 2015
License: CC 0
Data sources: Datacite
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ZENODO
Dataset . 2015
License: CC 0
Data sources: ZENODO
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Cancer Gene Expression Datasets

Authors: Zhang, Xiang;

Cancer Gene Expression Datasets

Abstract

The attached files contain two datasets termed GCM and Acute Leukemia datasets. They have been used in our submitted paper termed 'Semi-supervised Nonnegative Matrix Factorization for Cancer Classification'. The file names imply its datasets. The details are listed as follows: GCM_Test.res --- The testing gene expression data of the GCM dataset GCM_Test.cls --- The ground-truth classes of the testing samples of the GCM dataset GCM_Training.res --- The training gene expression data of the GCM dataset GCM_Training.cls --- The ground-truth classes of the training samples of the GCM dataset GCM.mat --- The .mat file contains the training and testing data and their classes information. The GCM dataset were downloaded from the website http://www.broadinstitute.org/cgi-bin/cancer/datasets.cgi. Leukemia dataset Acute_Leukemia_feature.txt --- The feature names Acute_Leukemia_sampleLabel.txt --- The ground-truth classes of all samples Acute_Leukemia_sampleName.txt --- The sample names Acute_Leukemia1.txt --- The file is the gene expression of the first 1048 samples Acute_Leukemia2.txt --- The file is the gene expression of the subsequent 1048 samples Acute_Leukemia.mat --- The .mat file contains gene expression data of all the samples and their classes. The Leukemia dataset were obtained from the website : http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13159

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Keywords

cancer types, gene expression

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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