ArticleGenome biology2007
Boosting with stumps for predicting transcription start sites.
Article in Genome biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed.
- Physical Peculiarity of Two Sites in Human Promoters: Universality and Diverse Usage in Gene Function.International journal of molecular sciences · 2024Article
- PromGER: Promoter Prediction Based on Graph Embedding and Ensemble Learning for Eukaryotic Sequence.Genes · 2023Article
- Critical assessment of computational tools for prokaryotic and eukaryotic promoter prediction.Briefings in bioinformatics · 2022Article
- Integrated Analysis of Tissue-Specific Promoter Methylation and Gene Expression Profile in Complex Diseases.International journal of molecular sciences · 2020Article
- TIPR: transcription initiation pattern recognition on a genome scale.Bioinformatics (Oxford, England) · 2015Article
- Rule-based knowledge acquisition method for promoter prediction in human and Drosophila species.TheScientificWorldJournal · 2014Article
- Histone modification profiles are predictive for tissue/cell-type specific expression of both protein-coding and microRNA genes.BMC bioinformatics · 2011Article
- Ab initio identification of transcription start sites in the Rhesus macaque genome by histone modification and RNA-Seq.Nucleic acids research · 2011Article
- A domesticated transposon mediates the effects of a single-nucleotide polymorphism responsible for enhanced muscle growth.EMBO reports · 2010Article
- A transcription factor affinity-based code for mammalian transcription initiation.Genome research · 2009Article
- High-resolution human core-promoter prediction with CoreBoost_HM.Genome research · 2009Article
- Features of mammalian microRNA promoters emerge from polymerase II chromatin immunoprecipitation data.PloS one · 2009Article
- Human Pol II promoter recognition based on primary sequences and free energy of dinucleotides.BMC bioinformatics · 2008Article
- A code for transcription initiation in mammalian genomes.Genome research · 2008Article
- MetaProm: a neural network based meta-predictor for alternative human promoter prediction.BMC genomics · 2007Article
- Computational analyses of eukaryotic promoters.BMC bioinformatics · 2007Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.