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» Introduction to artificial neural networks
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BMCBI
2006
122views more  BMCBI 2006»
13 years 5 months ago
A multivariate prediction model for microarray cross-hybridization
Background: Expression microarray analysis is one of the most popular molecular diagnostic techniques in the post-genomic era. However, this technique faces the fundamental proble...
Yian A. Chen, Cheng-Chung Chou, Xinghua Lu, Elizab...
BMCBI
2007
113views more  BMCBI 2007»
13 years 5 months ago
Analysis and prediction of antibacterial peptides
Background: Antibacterial peptides are important components of the innate immune system, used by the host to protect itself from different types of pathogenic bacteria. Over the l...
Sneh Lata, B. K. Sharma, G. P. S. Raghava
BMCBI
2005
85views more  BMCBI 2005»
13 years 5 months ago
Prediction of twin-arginine signal peptides
Background: Proteins carrying twin-arginine (Tat) signal peptides are exported into the periplasmic compartment or extracellular environment independently of the classical Secdepe...
Jannick Dyrløv Bendtsen, Henrik Nielsen, Da...
BMCBI
2010
165views more  BMCBI 2010»
13 years 5 months ago
MTar: a computational microRNA target prediction architecture for human transcriptome
Background: MicroRNAs (miRNAs) play an essential task in gene regulatory networks by inhibiting the expression of target mRNAs. As their mRNA targets are genes involved in importa...
Vinod Chandra, Reshmi Girijadevi, Achuthsankar S. ...