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Genome Biology
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August 5, 2020
Knowledge-primed neural networks enable biologically interpretable deep learning on single-cell sequencing data
Nikolaus Fortelny, Christoph Bock
NPJ Systems Biology and Applications
|
October 10, 2023
Reliable interpretability of biology-inspired deep neural networks
Wolfgang Esser-Skala, Nikolaus Fortelny
Proteomics
|
May 27, 2015
The path of no return--Truncated protein N-termini and current ignorance of their genesis
Nikolaus Fortelny, Paul Pavlidis, Christopher M Overall
Molecular & Cellular Proteomics : MCP
|
April 8, 2017
Protease-Inhibitor Interaction Predictions: Lessons on the Complexity of Protein-Protein Interactions
Nikolaus Fortelny, Georgina S Butler, Christopher M Overall, et al.
Nature
|
July 28, 2017
Can we predict protein from mRNA levels?
Nikolaus Fortelny, Christopher M Overall, Paul Pavlidis, et al.
Nucleic Acids Research
|
October 22, 2014
Proteome TopFIND 3.0 with TopFINDer and PathFINDer: database and analysis tools for the association of protein termini to pre- and post-translational events
Nikolaus Fortelny, Sharon Yang, Paul Pavlidis, et al.
Blood
|
October 22, 2014
TAILS N-terminomics of human platelets reveals pervasive metalloproteinase-dependent proteolytic processing in storage
Anna Prudova, Katherine Serrano, Ulrich Eckhard, et al.
Genome Biology
|
May 8, 2020
Single-cell RNA-seq with spike-in cells enables accurate quantification of cell-specific drug effects in pancreatic islets
Brenda Marquina-Sanchez, Nikolaus Fortelny, Matthias Farlik, et al.
Plos Biology
|
May 29, 2014
Network analyses reveal pervasive functional regulation between proteases in the human protease web
Nikolaus Fortelny, Jennifer H Cox, Reinhild Kappelhoff, et al.
Molecular Systems Biology
|
January 14, 2017
Interactome disassembly during apoptosis occurs independent of caspase cleavage
Nichollas E Scott, Lindsay D Rogers, Anna Prudova, et al.
Page
of 4
Search research articles
Search
Showing results (1-10 of 40) with videos related to
Sort By:
Page
of 4
Genome Biology
|
August 5, 2020
Knowledge-primed neural networks enable biologically interpretable deep learning on single-cell sequencing data
Nikolaus Fortelny, Christoph Bock
NPJ Systems Biology and Applications
|
October 10, 2023
Reliable interpretability of biology-inspired deep neural networks
Wolfgang Esser-Skala, Nikolaus Fortelny
Proteomics
|
May 27, 2015
The path of no return--Truncated protein N-termini and current ignorance of their genesis
Nikolaus Fortelny, Paul Pavlidis, Christopher M Overall
Molecular & Cellular Proteomics : MCP
|
April 8, 2017
Protease-Inhibitor Interaction Predictions: Lessons on the Complexity of Protein-Protein Interactions
Nikolaus Fortelny, Georgina S Butler, Christopher M Overall, et al.
Nature
|
July 28, 2017
Can we predict protein from mRNA levels?
Nikolaus Fortelny, Christopher M Overall, Paul Pavlidis, et al.
Nucleic Acids Research
|
October 22, 2014
Proteome TopFIND 3.0 with TopFINDer and PathFINDer: database and analysis tools for the association of protein termini to pre- and post-translational events
Nikolaus Fortelny, Sharon Yang, Paul Pavlidis, et al.
Blood
|
October 22, 2014
TAILS N-terminomics of human platelets reveals pervasive metalloproteinase-dependent proteolytic processing in storage
Anna Prudova, Katherine Serrano, Ulrich Eckhard, et al.
Genome Biology
|
May 8, 2020
Single-cell RNA-seq with spike-in cells enables accurate quantification of cell-specific drug effects in pancreatic islets
Brenda Marquina-Sanchez, Nikolaus Fortelny, Matthias Farlik, et al.
Plos Biology
|
May 29, 2014
Network analyses reveal pervasive functional regulation between proteases in the human protease web
Nikolaus Fortelny, Jennifer H Cox, Reinhild Kappelhoff, et al.
Molecular Systems Biology
|
January 14, 2017
Interactome disassembly during apoptosis occurs independent of caspase cleavage
Nichollas E Scott, Lindsay D Rogers, Anna Prudova, et al.
Page
of 4