yeast: Yeast sequences which were classified into 10 classes
In macs: Recursive Partitioning Based Multivariate Adaptive Regression Models, Classification Trees, Survival Trees
Description
Usage
Format
References
Description
The yeast dataset consists of 1484 yeast sequences which were classified into 10 classes. It has the 8 putative variables that may predict the response variable. The yeast sequences are from SWISS-PROT database. There are 463 CYT, 429 NUC, 244 MIT, 163 ME3, 51 ME2, 44 ME1, 35 EXC, 30 VAC, 20 POX and 5 ERL in yeast dataset.
Usage
1
data("yeast")
Format
A data.frame containing 1484 yeast sequences.
References
Horton, Paul and Nakai, Kenta (1996) A probabilistic classification system for predicting the cellular localization sites of proteins. Ismb, volume 4,
pages 109–115.
macs documentation built on Oct. 9, 2019, 5:05 p.m.
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Description Usage Format References
Description
The yeast dataset consists of 1484 yeast sequences which were classified into 10 classes. It has the 8 putative variables that may predict the response variable. The yeast sequences are from SWISS-PROT database. There are 463 CYT, 429 NUC, 244 MIT, 163 ME3, 51 ME2, 44 ME1, 35 EXC, 30 VAC, 20 POX and 5 ERL in yeast dataset.
Usage
1 | data("yeast")
|
Format
A data.frame containing 1484 yeast sequences.
References
Horton, Paul and Nakai, Kenta (1996) A probabilistic classification system for predicting the cellular localization sites of proteins. Ismb, volume 4, pages 109–115.
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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