Accurately Predicting Transcription Start Sites Using Logitlinear Model and Local Oligonucleotide Frequencies
نویسندگان
چکیده
In this study, we construct a transcription start site (TSS) prediction model using the logitlinear model and the genomic context features mined in promoter regions. We also develop a computational program named ProKey that is able to accurately predict TSSs in long DNA sequences. Performance evaluation results on the whole human genome show that ProKey could achieve 71.2% sensitivity and 76.3% specificity at the resolution level of 2000bp. Further comparison results exhibit that the correlation coefficient (CC) value of ProKey is higher than that of DragonGSF and Eponine.
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