Data
NCI_60_Thioguanine

NCI_60_Thioguanine

active ARFF Elsevier Visibility: public Uploaded 06-06-2024 by Jiahui Yu
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This pharmacogenomic study investigates the patterns of drug activity in cancer cell lines. These cell lines come from the NCI-60 Human Tumor Cell Lines established by the Developmental Therapeutics Program of the National Cancer Institute (NCI) to screen for the toxicity of chemical compound repositories in diverse cancer cell lines. NCI-60 includes cell lines derived from cancers of colorectal (7 cell lines), renal (8), ovarian (6), breast (8), prostate (2), lung (9) and central nervous system origin (6), as well as leukemia (6) and melanoma (8).

49 features

Thioguanine (target)numeric60 unique values
0 missing
ABCA1numeric58 unique values
0 missing
ABCA2numeric55 unique values
0 missing
ABCA3numeric58 unique values
0 missing
ABCA4numeric56 unique values
0 missing
ABCA5numeric55 unique values
0 missing
ABCA6numeric39 unique values
0 missing
ABCA7numeric54 unique values
0 missing
ABCA8numeric58 unique values
0 missing
ABCA9numeric37 unique values
0 missing
ABCA10numeric58 unique values
0 missing
ABCA12numeric42 unique values
0 missing
ABCA13numeric50 unique values
1 missing
ABCB1numeric56 unique values
0 missing
ABCB2numeric57 unique values
0 missing
ABCB3numeric53 unique values
0 missing
ABCB4numeric56 unique values
0 missing
ABCB5numeric53 unique values
0 missing
ABCB6numeric56 unique values
0 missing
ABCB7numeric55 unique values
0 missing
ABCB8numeric57 unique values
0 missing
ABCB9numeric53 unique values
0 missing
ABCB10numeric55 unique values
0 missing
ABCB11numeric51 unique values
0 missing
ABCC1numeric56 unique values
0 missing
ABCC2numeric60 unique values
0 missing
ABCC3numeric58 unique values
0 missing
ABCC4numeric58 unique values
0 missing
ABCC5numeric58 unique values
0 missing
ABCC6numeric55 unique values
0 missing
ABCC7numeric56 unique values
0 missing
ABCC8numeric37 unique values
0 missing
ABCC9numeric56 unique values
0 missing
ABCC10numeric54 unique values
0 missing
ABCC11numeric56 unique values
0 missing
ABCC12numeric55 unique values
0 missing
ABCD1numeric56 unique values
0 missing
ABCD2numeric55 unique values
0 missing
ABCD3numeric57 unique values
0 missing
ABCD4numeric57 unique values
0 missing
ABCE1numeric55 unique values
0 missing
ABCF1numeric52 unique values
0 missing
ABCF2numeric55 unique values
0 missing
ABCF3numeric52 unique values
0 missing
ABCG1numeric54 unique values
0 missing
ABCG2numeric58 unique values
0 missing
ABCG4numeric60 unique values
0 missing
ABCG5numeric52 unique values
0 missing
ABCG8numeric56 unique values
0 missing
Show all 49 features

19 properties

NumberOfInstances
60
Number of instances (rows) of the dataset.
NumberOfFeatures
49
Number of attributes (columns) of the dataset.
NumberOfClasses
0
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
1
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
1
Number of instances with at least one value missing.
NumberOfNumericFeatures
49
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
1.67
Percentage of instances having missing values.
AutoCorrelation
0.59
Average class difference between consecutive instances.
PercentageOfMissingValues
0.03
Percentage of missing values.
Dimensionality
0.82
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
100
Percentage of numeric attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
Show all 19 properties

1 tasks

Supervised Regression on NCI_60_Thioguanine
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: root_mean_squared_error - target_feature: Thioguanine
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