diflogcarcinoma: Expression dataset of normal and carcinoma samples.
In rafaelslins/Rclust: Partitional Clustering High Dimensional Data Based on P-Values Using Parallel Processing
Description
A dataset containing the colorectal expression data studied by Notterman et al. (2001) and pre processed by von Borries (2008).
Format
A data frame with 4234 rows and 55 variables.
References
D. A. Notterman, U. Alon, A. J. Sierk, and A. J. Levine, Transcriptional gene expression profiles of colorectal adenoma, adenocarcinoma, and normal tissue examined by oligonucleotide arrays, Cancer Research 61 (2001), 3124-3130.
G. von Borries. Partition clustering of High Dimensional Low Sample Size data based on P-Values. PhD Thesis, 2008.
rafaelslins/Rclust documentation built on May 4, 2020, 12:16 a.m.
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Description
A dataset containing the colorectal expression data studied by Notterman et al. (2001) and pre processed by von Borries (2008).
Format
A data frame with 4234 rows and 55 variables.
References
D. A. Notterman, U. Alon, A. J. Sierk, and A. J. Levine, Transcriptional gene expression profiles of colorectal adenoma, adenocarcinoma, and normal tissue examined by oligonucleotide arrays, Cancer Research 61 (2001), 3124-3130. G. von Borries. Partition clustering of High Dimensional Low Sample Size data based on P-Values. PhD Thesis, 2008.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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