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» Feature Engineering for a Gene Regulation Prediction Task
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BMCBI
2006
216views more  BMCBI 2006»
14 years 10 months ago
Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...
Haiying Wang, Huiru Zheng, David Simpson, Francisc...
BMCBI
2008
134views more  BMCBI 2008»
14 years 10 months ago
Identification of transcription factor contexts in literature using machine learning approaches
Background: Availability of information about transcription factors (TFs) is crucial for genome biology, as TFs play a central role in the regulation of gene expression. While man...
Hui Yang, Goran Nenadic, John A. Keane
BMCBI
2004
133views more  BMCBI 2004»
14 years 9 months ago
Artificial neural network approach for selection of susceptible single nucleotide polymorphisms and construction of prediction m
Background: Screening of various gene markers such as single nucleotide polymorphism (SNP) and correlation between these markers and development of multifactorial disease have pre...
Yasuyuki Tomita, Shuta Tomida, Yuko Hasegawa, Yoic...
ISORC
2007
IEEE
15 years 4 months ago
Time-Predictable Task Preemption for Real-Time Systems with Direct-Mapped Instruction Cache
Modern processors used in embedded systems are becoming increasingly powerful, having features like caches and pipelines to speedup execution. While execution speed of embedded so...
Raimund Kirner, Peter P. Puschner
BMCBI
2005
82views more  BMCBI 2005»
14 years 9 months ago
A novel method for prokaryotic promoter prediction based on DNA stability
Background: In the post-genomic era, correct gene prediction has become one of the biggest challenges in genome annotation. Improved promoter prediction methods can be one step to...
Aditi Kanhere, Manju Bansal