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» Model Driven Testing Based on Test History
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101
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BMCBI
2010
139views more  BMCBI 2010»
15 years 19 days ago
PoGO: Prediction of Gene Ontology terms for fungal proteins
Background: Automated protein function prediction methods are the only practical approach for assigning functions to genes obtained from model organisms. Many of the previously re...
Jaehee Jung, Gangman Yi, Serenella A. Sukno, Micha...
99
Voted
BMCBI
2010
118views more  BMCBI 2010»
15 years 19 days ago
Artificial neural networks for the prediction of peptide drift time in ion mobility mass spectrometry
Background: There is an increasing usage of ion mobility-mass spectrometry (IMMS) in proteomics. IMMS combines the features of ion mobility spectrometry (IMS) and mass spectrometr...
Bing Wang, Steve Valentine, Manolo Plasencia, Srir...
BMCBI
2008
166views more  BMCBI 2008»
15 years 19 days ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf
84
Voted
BMCBI
2006
93views more  BMCBI 2006»
15 years 17 days ago
Evaluation of absolute quantitation by nonlinear regression in probe-based real-time PCR
Background: In real-time PCR data analysis, the cycle threshold (CT) method is currently the gold standard. This method is based on an assumption of equal PCR efficiency in all re...
Rasmus Goll, Trine Olsen, Guanglin Cui, Jon Florho...
103
Voted
BMCBI
2006
94views more  BMCBI 2006»
15 years 17 days ago
Novel knowledge-based mean force potential at the profile level
Background: The development and testing of functions for the modeling of protein energetics is an important part of current research aimed at understanding protein structure and f...
Qiwen Dong, Xiaolong Wang, Lei Lin