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Lukas Käll
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2020 – today
- 2024
- [c3]Jack Freestone, Lukas Käll, William Stafford Noble, Uri Keich:
Semi-supervised Learning While Controlling the FDR with an Application to Tandem Mass Spectrometry Analysis. RECOMB 2024: 448-453 - 2022
- [j10]Gustavo S. Jeuken, Nicholas P. Tobin, Lukas Käll:
Survival analysis of pathway activity as a prognostic determinant in breast cancer. PLoS Comput. Biol. 18(3) (2022) - 2021
- [j9]Markus Ekvall, Michael Höhle, Lukas Käll:
Parallelized calculation of permutation tests. Bioinform. 36(22-23): 5392-5397 (2021)
2010 – 2019
- 2019
- [j8]Morteza Chalabi Hajkarim, Vasileios Tsiamis, Lukas Käll, Fabio Vandin, Veit Schwämmle:
CoExpresso: assess the quantitative behavior of protein complexes in human cells. BMC Bioinform. 20(1): 17 (2019) - 2017
- [j7]Heydar Maboudi Afkham, Xuanbin Qiu, Matthew The, Lukas Käll:
Uncertainty estimation of predictions of peptides' chromatographic retention times in shotgun proteomics. Bioinform. 33(4): 508-513 (2017) - 2015
- [j6]Konstantinos D. Tsirigos, Christoph Peters, Nanjiang Shu, Lukas Käll, Arne Elofsson:
The TOPCONS web server for consensus prediction of membrane protein topology and signal peptides. Nucleic Acids Res. 43(Webserver-Issue): W401-W407 (2015) - 2014
- [e1]Matteo Comin, Lukas Käll, Elena Marchiori, Alioune Ngom, Jagath C. Rajapakse:
Pattern Recognition in Bioinformatics - 9th IAPR International Conference, PRIB 2014, Stockholm, Sweden, August 21-23, 2014. Proceedings. Lecture Notes in Computer Science 8626, Springer 2014, ISBN 978-3-319-09191-4 [contents] - 2012
- [j5]Viktor Granholm, William Stafford Noble, Lukas Käll:
A cross-validation scheme for machine learning algorithms in shotgun proteomics. BMC Bioinform. 13(S-16): S3 (2012) - 2011
- [j4]Lukas Käll, Olga Vitek:
Computational Mass Spectrometry-Based Proteomics. PLoS Comput. Biol. 7(12) (2011)
2000 – 2009
- 2009
- [j3]Lukas Käll, John D. Storey, William Stafford Noble:
QVALITY: non-parametric estimation of q-values and posterior error probabilities. Bioinform. 25(7): 964-966 (2009) - 2008
- [j2]Sheila M. Reynolds, Lukas Käll, Michael Riffle, Jeff A. Bilmes, William Stafford Noble:
Transmembrane Topology and Signal Peptide Prediction Using Dynamic Bayesian Networks. PLoS Comput. Biol. 4(11) (2008) - [c2]Lukas 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 - 2007
- [j1]Lukas Käll, Anders Krogh, Erik L. L. Sonnhammer:
Advantages of combined transmembrane topology and signal peptide prediction - the Phobius web server. Nucleic Acids Res. 35(Web-Server-Issue): 429-432 (2007) - 2005
- [c1]Lukas 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
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