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Mikael Bodén

Showing results (1-10 of 72) with videos related to

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Journal of Bioinformatics and Computational Biology|March 29, 2006
Detecting and sorting targeting peptides with neural networks and support vector machinesJohn Hawkins, Mikael Bodén
IEEE Transactions on Neural Networks|March 25, 2005
Improved access to sequential motifs: a note on the architectural bias of recurrent networksMikael Bodén, John Hawkins
Bioinformatics (Oxford, England)|March 5, 2005
Prediction of subcellular localization using sequence-biased recurrent networksMikael Bodén, John Hawkins
IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 19, 2006
The applicability of recurrent neural networks for biological sequence analysisJohn Hawkins, Mikael Bodén
BMC Systems Biology|April 15, 2010
The proteins of intra-nuclear bodies: a data-driven analysis of sequence, interaction and expressionNurul Mohamad, Mikael Bodén
Bioinformatics (Oxford, England)|May 25, 2006
Identifying sequence regions undergoing conformational change via predicted continuum secondary structureMikael Bodén, Timothy L Bailey
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|March 13, 2008
Determining nucleolar association from sequence by leveraging protein-protein interactionsMikael Bodén, Rohan D Teasdale
Nucleic Acids Research|June 12, 2008
Associating transcription factor-binding site motifs with target GO terms and target genesMikael Bodén, Timothy L Bailey
Genomics, Proteomics & Bioinformatics|October 23, 2012
NSort/DB: an intranuclear compartment protein databaseKai Willadsen, Nurul Mohamad, Mikael Bodén
Briefings in Bioinformatics|February 23, 2025
Do protein language models learn phylogeny?Sanjana Tule, Gabriel Foley, Mikael Bodén
Pageof 8

Showing results (1-10 of 72) with videos related to

Sort By:
Pageof 8
Journal of Bioinformatics and Computational Biology|March 29, 2006
Detecting and sorting targeting peptides with neural networks and support vector machinesJohn Hawkins, Mikael Bodén
IEEE Transactions on Neural Networks|March 25, 2005
Improved access to sequential motifs: a note on the architectural bias of recurrent networksMikael Bodén, John Hawkins
Bioinformatics (Oxford, England)|March 5, 2005
Prediction of subcellular localization using sequence-biased recurrent networksMikael Bodén, John Hawkins
IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 19, 2006
The applicability of recurrent neural networks for biological sequence analysisJohn Hawkins, Mikael Bodén
BMC Systems Biology|April 15, 2010
The proteins of intra-nuclear bodies: a data-driven analysis of sequence, interaction and expressionNurul Mohamad, Mikael Bodén
Bioinformatics (Oxford, England)|May 25, 2006
Identifying sequence regions undergoing conformational change via predicted continuum secondary structureMikael Bodén, Timothy L Bailey
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|March 13, 2008
Determining nucleolar association from sequence by leveraging protein-protein interactionsMikael Bodén, Rohan D Teasdale
Nucleic Acids Research|June 12, 2008
Associating transcription factor-binding site motifs with target GO terms and target genesMikael Bodén, Timothy L Bailey
Genomics, Proteomics & Bioinformatics|October 23, 2012
NSort/DB: an intranuclear compartment protein databaseKai Willadsen, Nurul Mohamad, Mikael Bodén
Briefings in Bioinformatics|February 23, 2025
Do protein language models learn phylogeny?Sanjana Tule, Gabriel Foley, Mikael Bodén
Pageof 8