Lukas Käll

Molecular Biology · 2004–2024

A researcher in the Science corpus: 8 papers; trusts 14 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 76 citations into it; #1,314 of 17,773 by trust here, #4,132 by citations
• Spectroscopy — 30 citations into it; #275 of 1,674 by trust here, #464 by citations
• Computational Biology & Bioinformatics — 19 citations into it

Whom Lukas Käll trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Anders Krogh
2. Johannes Söding
3. Lawrence R. Rabiner
4. Håkan Viklund
5. J. Kyte
6. Sean R. Eddy
7. John D. Storey
8. C. Bystroff
9. S. Sathiya Keerthi
10. Bernhard E. Boser

Who trusts Lukas Käll overall

1. David T. Jones
2. Timothy Nugent
3. Markus Brosch
4. Alexey I. Nesvizhskii
5. Henrik Nielsen
6. Jaina Mistry
7. Christoph Peters
8. Joshua E. Elias
9. Robert D. Finn
10. Håkan Viklund

Papers from Lukas Käll's perspective

Ordered by how strongly the researchers Lukas Käll trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Basic local alignment search tool.
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A combined transmembrane topology and signal peptide prediction method. (2004) — 2,422 citations
• An HMM posterior decoder for sequence feature prediction that includes homology information (2005) — 343 citations
• The TOPCONS web server for consensus prediction of membrane protein topology and signal peptides (2015) — 894 citations
• Assigning significance to peptides identified by tandem mass spectrometry using decoy databases. (2008) — 621 citations
• Semi-supervised learning for peptide identification from shotgun proteomics datasets (2007) — 2,199 citations
• Posterior error probabilities and false discovery rates: two sides of the same coin. (2008) — 326 citations
• Fast and Accurate Protein False Discovery Rates on Large-Scale Proteomics Data Sets with Percolator 3.0 (2016) — 407 citations
• Automated model building and protein identification in cryo-EM maps (2024) — 350 citations