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BMCBI
2004
205views more  BMCBI 2004»
14 years 9 months ago
A combinational feature selection and ensemble neural network method for classification of gene expression data
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
BMCBI
2010
118views more  BMCBI 2010»
14 years 10 months ago
Bacillus anthracis genome organization in light of whole transcriptome sequencing
Emerging knowledge of whole prokaryotic transcriptomes could validate a number of theoretical concepts introduced in the early days of genomics. What are the rules connecting gene...
Jeffrey Martin, Wenhan Zhu, Karla D. Passalacqua, ...
BMCBI
2010
112views more  BMCBI 2010»
14 years 10 months ago
Orientation-dependent backbone-only residue pair scoring functions for fixed backbone protein design
Background: Empirical scoring functions have proven useful in protein structure modeling. Most such scoring functions depend on protein side chain conformations. However, backbone...
Andrew J. Bordner
ISSS
2002
IEEE
124views Hardware» more  ISSS 2002»
15 years 2 months ago
Timing Analysis of Embedded Software for Speculative Processors
Static timing analysis of embedded software is important for systems with hard real-time constraints. To accurately estimate time bounds, it is essential to model the underlying m...
Abhik Roychoudhury, Xianfeng Li, Tulika Mitra
EMNLP
2011
13 years 9 months ago
Training a Log-Linear Parser with Loss Functions via Softmax-Margin
Log-linear parsing models are often trained by optimizing likelihood, but we would prefer to optimise for a task-specific metric like Fmeasure. Softmax-margin is a convex objecti...
Michael Auli, Adam Lopez