Monografie
A machine learning approach for prediction of DNA and peptide HPLC retention times : (extended abstract)
- Sprache
-
Englisch
- Identifier
-
991198409
- Reihe
-
Dagstuhl seminar proceedings 05471
Beteiligte Personen und Organisationen
- URN
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
26.01.2023, 13:54 MEZ
Objekttyp
- Monografie
Beteiligte
- Sturm, Marc
- Quinten, Sascha
- Huber, Christian G.
- Kohlbacher, Oliver
Ähnliche Objekte (12)
Computational proteomics : 05471 abstracts collection ; Dagstuhl seminar
Executive summary of the Dagstuhl Workshop "Computational Proteomics"
Evaluation of LC-MS data for the absolute quantitative analysis of marker proteins
OpenMS : a framework for quantitative HPLC/MS-based proteomics
High-accuracy peak picking of proteomics data
Multidimensional peptide/protein analysis and identification by sequence database search using mass spectrometric data
Glycosylation patterns of proteins studied by liquid chromatography-mass spectrometry and bioinformatic tools
New statistical algorithms for clinical proteomics
Future challenges in proteomics
An algorithm for feature finding in LC/MS raw data
Software platforms for quantitative proteomics : Dagstuhl seminar
The peptide MS/MS-fragmentome : a set of predictable fragment ions with highly redundant sequence information
Computational proteomics : 05471 abstracts collection ; Dagstuhl seminar
Executive summary of the Dagstuhl Workshop "Computational Proteomics"
Evaluation of LC-MS data for the absolute quantitative analysis of marker proteins
OpenMS : a framework for quantitative HPLC/MS-based proteomics
High-accuracy peak picking of proteomics data
Multidimensional peptide/protein analysis and identification by sequence database search using mass spectrometric data
Glycosylation patterns of proteins studied by liquid chromatography-mass spectrometry and bioinformatic tools
New statistical algorithms for clinical proteomics
Future challenges in proteomics
An algorithm for feature finding in LC/MS raw data
Software platforms for quantitative proteomics : Dagstuhl seminar
The peptide MS/MS-fragmentome : a set of predictable fragment ions with highly redundant sequence information
Computational proteomics : 05471 abstracts collection ; Dagstuhl seminar
Executive summary of the Dagstuhl Workshop "Computational Proteomics"
Evaluation of LC-MS data for the absolute quantitative analysis of marker proteins
OpenMS : a framework for quantitative HPLC/MS-based proteomics
High-accuracy peak picking of proteomics data
Multidimensional peptide/protein analysis and identification by sequence database search using mass spectrometric data
Glycosylation patterns of proteins studied by liquid chromatography-mass spectrometry and bioinformatic tools
New statistical algorithms for clinical proteomics
Future challenges in proteomics
An algorithm for feature finding in LC/MS raw data
Software platforms for quantitative proteomics : Dagstuhl seminar