mdrr: Multidrug Resistance Reversal (MDRR) Agent Data
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mdrr R Documentation
Multidrug Resistance Reversal (MDRR) Agent Data
Description
Svetnik et al. (2003) describe these data: "Bakken and Jurs studied a set of
compounds originally discussed by Klopman et al., who were interested in
multidrug resistance reversal (MDRR) agents. The original response variable
is a ratio measuring the ability of a compound to reverse a leukemia cell's
resistance to adriamycin. However, the problem was treated as a
classification problem, and compounds with the ratio >4.2 were considered
active, and those with the ratio <= 2.0 were considered inactive. Compounds
with the ratio between these two cutoffs were called moderate and removed
from the data for twoclass classification, leaving a set of 528 compounds
(298 actives and 230 inactives). (Various other arrangements of these data
were examined by Bakken and Jurs, but we will focus on this particular one.)
We did not have access to the original descriptors, but we generated a set
of 342 descriptors of three different types that should be similar to the
original descriptors, using the DRAGON software."
Details
The data and R code are in the Supplemental Data file for the article.
Value
mdrrDescr
the descriptors
mdrrClass
the categorical
outcome ("Active" or "Inactive")
Source
Svetnik, V., Liaw, A., Tong, C., Culberson, J. C., Sheridan, R. P.
Feuston, B. P (2003). Random Forest: A Classification and Regression Tool
for Compound Classification and QSAR Modeling, Journal of Chemical
Information and Computer Sciences, Vol. 43, pg. 1947-1958.
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Multidrug Resistance Reversal (MDRR) Agent Data
Description
Svetnik et al. (2003) describe these data: "Bakken and Jurs studied a set of compounds originally discussed by Klopman et al., who were interested in multidrug resistance reversal (MDRR) agents. The original response variable is a ratio measuring the ability of a compound to reverse a leukemia cell's resistance to adriamycin. However, the problem was treated as a classification problem, and compounds with the ratio >4.2 were considered active, and those with the ratio <= 2.0 were considered inactive. Compounds with the ratio between these two cutoffs were called moderate and removed from the data for twoclass classification, leaving a set of 528 compounds (298 actives and 230 inactives). (Various other arrangements of these data were examined by Bakken and Jurs, but we will focus on this particular one.) We did not have access to the original descriptors, but we generated a set of 342 descriptors of three different types that should be similar to the original descriptors, using the DRAGON software."
Details
The data and R code are in the Supplemental Data file for the article.
Value
mdrrDescr |
the descriptors |
mdrrClass |
the categorical outcome ("Active" or "Inactive") |
Source
Svetnik, V., Liaw, A., Tong, C., Culberson, J. C., Sheridan, R. P. Feuston, B. P (2003). Random Forest: A Classification and Regression Tool for Compound Classification and QSAR Modeling, Journal of Chemical Information and Computer Sciences, Vol. 43, pg. 1947-1958.
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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