Summary

This data set is converted from sequence data and aims to predict the polyadenylation signals (PAS) in human seuquences.

License

unknown (from UCI repository)

Dependencies

Tags

polya

Attribute Types

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zip (1.7 MB)

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Original Data Format

zip

Name

Version mldata

Comment

Names

Data (first 10 data points)

ZIP archive

PAS-train.names, PAS-train.data, POS-test.data, RANDOM-test.data, CDS-test.data, INTRON-test.data, MARKOV-test.data, CDS-test.arff, RANDOM-test.arff, POS-test.arff, PAS-train.arff, MARKOV-test.arff, INTRON-test.arff

Description

This data set is converted from sequence data and aims to predict the polyadenylation signals (PAS) in human seuquences. The original data was first used in Sequence Determinants in Human Polyadenylation Site Selection, BMC Genomics, 4(1):7, 2003. The data set contains one group of training data (2327 true PAS) and 5 groups of testing data, each of them consists of 982 samples. Among these 5 sets of testing data, one is true PAS and the other four are all false PAS. By the similar feature generation technique that described in TIS data section, we construct feature space using 1-gram, 2-gram and 3-gram nuleotide acid patterns. There are total 168 features.

URLs

http://datam.i2r.a-star.edu.sg/datasets/krbd/SequenceData/Polya.html

Publications

Data Source

http://datam.i2r.a-star.edu.sg/datasets/krbd/SequenceData/Polya.html

Measurement Details

Usage Scenario

revision 1

by kidzik on 2011-09-05 18:21

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