dna
OpenML dataset with id 40670
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/4965245/dna.arff
Upload date: 6 April 2017
Dataset Characteristics
Number of classes: 3
Number of features: 181 (numeric: 0, symbolic: 181 and in total binary: 180 )
Number of instances: 3,186
Number of instances with missing values: 0
Number of missing values: 0
Author: Ross King, based on data from Genbank 64.1 Source: MLbench. Originally from the StatLog project. Please Cite:
Primate Splice-Junction Gene Sequences (DNA) Originally from the StatLog project. The raw data is still available on UCI).
The data consists of 3,186 data points (splice junctions). The data points are described by 180 indicator binary variables and the problem is to recognize the 3 classes (ei, ie, neither), i.e., the boundaries between exons (the parts of the DNA sequence retained after splicing) and introns (the parts of the DNA sequence that are spliced out). The StatLog DNA dataset is a processed version of the [(https://archive.ics.uci.edu/ml/datasets/Molecular+Biology+(Splice-junction+Gene+Sequences Irvine database])). The main difference is that the symbolic variables representing the nucleotides (only A,G,T,C) were replaced by 3 binary indicator variables. Thus the original 60 symbolic attributes were changed into 180 binary attributes. The names of the examples were removed. The examples with ambiguities were removed (there was very few of them, 4). The StatLog version of this dataset was produced by Ross King at Strathclyde University. For original details see the Irvine database documentation.
The nucleotides A,C,G,T were given indicator values as follows: A -> 1 0 0 C -> 0 1 0 G -> 0 0 1 T -> 0 0 0
Hint: Much better performance is generally observed if attributes closest to the junction are used. In the StatLog version, this means using attributes A61 to A120 only.
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