title: Boosting with stumps for predicting transcription start sites.
abstract: Promoter prediction is a difficult but important problem in gene finding, and it is critical for elucidating the regulation of gene expression. We introduce a new promoter prediction program, CoreBoost, which applies a boosting technique with stumps to select important small-scale as well as large-scale features. CoreBoost improves greatly on locating transcription start sites. We also demonstrate that by further utilizing some tissue-specific information, better accuracy can be achieved.
authors.affiliation: Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, New York 11724, USA. zhaox@cshl.edu
authors.forename: Xiaoyue
authors.initials: X
authors.lastname: Zhao
authors.forename: Zhenyu
authors.initials: Z
authors.lastname: Xuan
authors.forename: Michael Q
authors.initials: MQ
authors.lastname: Zhang
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D030541:Databases, Genetic; D023281:Genomics / Q000379:methods*; D011401:Promoter Regions, Genetic / Q000235:genetics; D012984:Software; D024363:Transcription Initiation Site