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NIPS
2004
13 years 9 months ago
Large-Scale Prediction of Disulphide Bond Connectivity
The formation of disulphide bridges among cysteines is an important feature of protein structures. Here we develop new methods for the prediction of disulphide bond connectivity. ...
Pierre Baldi, Jianlin Cheng, Alessandro Vullo
BMCBI
2008
173views more  BMCBI 2008»
13 years 7 months ago
Improved machine learning method for analysis of gas phase chemistry of peptides
Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...
Allison Gehrke, Shaojun Sun, Lukasz A. Kurgan, Nat...
WMPI
2004
ACM
14 years 29 days ago
Understanding the effects of wrong-path memory references on processor performance
High-performance out-of-order processors spend a significant portion of their execution time on the incorrect program path even though they employ aggressive branch prediction al...
Onur Mutlu, Hyesoon Kim, David N. Armstrong, Yale ...
CIKM
2011
Springer
12 years 7 months ago
Semi-supervised multi-task learning of structured prediction models for web information extraction
Extracting information from web pages is an important problem; it has several applications such as providing improved search results and construction of databases to serve user qu...
Paramveer S. Dhillon, Sundararajan Sellamanickam, ...
ISBI
2008
IEEE
14 years 8 months ago
Controlling the error in FMRI: Hypothesis testing or set estimation?
This paper describes a new methodology and associated theoretical analysis for rapid and accurate extraction of activation regions from functional MRI data. Most fMRI data analysi...
Aarti Singh, Rebecca Willett, Robert Nowak, Zachar...