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92
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BMCBI
2010
158views more  BMCBI 2010»
15 years 21 days ago
A Bayesian network approach to feature selection in mass spectrometry data
Background: Time-of-flight mass spectrometry (TOF-MS) has the potential to provide non-invasive, high-throughput screening for cancers and other serious diseases via detection of ...
Karl W. Kuschner, Dariya I. Malyarenko, William E....
98
Voted
BMCBI
2010
88views more  BMCBI 2010»
15 years 21 days ago
Proteome scanning to predict PDZ domain interactions using support vector machines
Background: PDZ domains mediate protein-protein interactions involved in important biological processes through the recognition of short linear motifs in their target proteins. Tw...
Shirley Hui, Gary D. Bader
BMCBI
2006
169views more  BMCBI 2006»
15 years 19 days ago
Machine learning techniques in disease forecasting: a case study on rice blast prediction
Background: Diverse modeling approaches viz. neural networks and multiple regression have been followed to date for disease prediction in plant populations. However, due to their ...
Rakesh Kaundal, Amar S. Kapoor, Gajendra P. S. Rag...
IPPS
2010
IEEE
14 years 9 months ago
Runtime checking of serializability in software transactional memory
Abstract--Ensuring the correctness of complex implementations of software transactional memory (STM) is a daunting task. Attempts have been made to formally verify STMs, but these ...
Arnab Sinha, Sharad Malik
97
Voted
WSC
2008
15 years 2 months ago
Demand forecast of semiconductor products based on technology diffusion
Demand forecast plays a critical role to determine capital investment for capacity planning. Given the involved uncertainties and long lead-time for capacity expansion, semiconduc...
Chen-Fu Chien, Yun-Ju Chen, Jin-Tang Peng