Title :
An error tolerant software equipment for human DNA characterization
Author :
Rampone, Salvatore
Author_Institution :
Univ. del Sannio, Benevento, Italy
Abstract :
We describe a learning algorithm for the prediction of splice site locations in human DNA in the presence of sequence annotation errors in the training data. Experimental results on a common dataset including errors are reported. We also give an efficient implementation. The resulting software package is publicly available.
Keywords :
DNA; biology computing; learning (artificial intelligence); noise; artificial intelligence; efficient implementation; error tolerant software equipment; human DNA; learning algorithm; noise; sequence annotation errors; software package; splice site locations; training data; Bioinformatics; DNA; Databases; Genomics; Humans; Inference algorithms; Machine learning algorithms; Sequences; Splicing; Training data; Algorithm; DNA; efficient implementation; learning; noise; splice;
Journal_Title :
Nuclear Science, IEEE Transactions on
DOI :
10.1109/TNS.2004.835609
