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» Using Multiple Alignments to Improve Gene Prediction
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147
Voted
BMCBI
2010
149views more  BMCBI 2010»
15 years 3 months ago
Identifying common prognostic factors in genomic cancer studies: A novel index for censored outcomes
Background: With the growing number of public repositories for high-throughput genomic data, it is of great interest to combine the results produced by independent research groups...
Sigrid Rouam, Thierry Moreau, Philippe Broët
141
Voted
BMCBI
2010
112views more  BMCBI 2010»
15 years 3 months ago
Knowledge-based analysis of microarrays for the discovery of transcriptional regulation relationships
Background: The large amount of high-throughput genomic data has facilitated the discovery of the regulatory relationships between transcription factors and their target genes. Wh...
Junhee Seok, Amit Kaushal, Ronald W. Davis, Wenzho...
132
Voted
BMCBI
2007
129views more  BMCBI 2007»
15 years 3 months ago
HoughFeature, a novel method for assessing drug effects in three-color cDNA microarray experiments
Background: Three-color microarray experiments can be performed to assess drug effects on the genomic scale. The methodology may be useful in shortening the cycle, reducing the co...
Hongya Zhao, Hong Yan
133
Voted
RECOMB
2006
Springer
16 years 4 months ago
Detecting the Dependent Evolution of Biosequences
Abstract. A probabilistic graphical model is developed in order to detect the dependent evolution between different sites in biological sequences. Given a multiple sequence alignme...
Jeremy Darot, Chen-Hsiang Yeang, David Haussler
133
Voted
BMCBI
2006
124views more  BMCBI 2006»
15 years 3 months ago
ZCURVE_V: a new self-training system for recognizing protein-coding genes in viral and phage genomes
Background: It necessary to use highly accurate and statistics-based systems for viral and phage genome annotations. The GeneMark systems for gene-finding in virus and phage genom...
Feng-Biao Guo, Chun-Ting Zhang