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Lukas Käll Coauthor index pubzone.org

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DBLP keys2011
6Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLLukas Käll, Olga Vitek: Computational Mass Spectrometry-Based Proteomics. PLoS Computational Biology 7(12): (2011)
2009
5Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLLukas Käll, John D. Storey, William Stafford Noble: QVALITY: non-parametric estimation of q-values and posterior error probabilities. Bioinformatics 25(7): 964-966 (2009)
2008
4Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLLukas Käll, John D. Storey, William Stafford Noble: Non-parametric estimation of posterior error probabilities associated with peptides identified by tandem mass spectrometry. ECCB 2008: 42-48
3Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSheila M. Reynolds, Lukas Käll, Michael Riffle, Jeff A. Bilmes, William Stafford Noble: Transmembrane Topology and Signal Peptide Prediction Using Dynamic Bayesian Networks. PLoS Computational Biology 4(11): (2008)
2007
2Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLLukas Käll, Anders Krogh, Erik L. L. Sonnhammer: Advantages of combined transmembrane topology and signal peptide prediction - the Phobius web server. Nucleic Acids Research 35(Web-Server-Issue): 429-432 (2007)
2005
1Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLLukas Käll, Anders Krogh, Erik L. L. Sonnhammer: An HMM posterior decoder for sequence feature prediction that includes homology information. ISMB (Supplement of Bioinformatics) 2005: 251-257

Coauthor Index

1Jeff A. Bilmes (Jeff Bilmes) [3]
2Anders Krogh [1] [2]
3William Stafford Noble [3] [4] [5]
4Sheila M. Reynolds [3]
5Michael Riffle [3]
6Erik L. L. Sonnhammer [1] [2]
7John D. Storey [4] [5]
8Olga Vitek [6]

Colors in the list of coauthors

Last update Sat Jun 2 20:57:36 2012 CET by the DBLP TeamThis material is Open Data Data released under the ODC-BY 1.0 license — See also our legal information page