A modular computational framework for automated peak extraction from ion mobility spectra
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
A modular computational framework for automated peak extraction from ion mobility spectra ; volume:15 ; number:1 ; day:22 ; month:1 ; year:2014 ; pages:1-12 ; date:12.2014
BMC bioinformatics ; 15, Heft 1 (22.1.2014), 1-12, 12.2014
- Creator
-
D'Addario, Marianna
- Contributor
- DOI
-
10.1186/1471-2105-15-25
- URN
-
urn:nbn:de:1111-2016021747148
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:29 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- D'Addario, Marianna
- Kopczynski, Dominik
- Baumbach, Jörg Ingo
- Rahmann, Sven
- SpringerLink (Online service)
Other Objects (12)
Accurate peak list extraction from proteomic mass spectra for identification and profiling studies
Plate‐height model of ion mobility‐mass spectrometry: Part 2—Peak‐to‐peak resolution and peak capacity
Plate-height model of ion mobility-mass spectrometry: Part 2—Peak-to-peak resolution and peak capacity
Peak intensity prediction in mass spectra using machine learning methods
peakTree: A framework for structure-preserving radar Doppler spectra analysis
peakTree: a framework for structure-preserving radar Doppler spectra analysis
Implementation of implicit filter for spatial spectra extraction
Peakhood: individual site context extraction for CLIP-seq peak regions
Peak travel, peak car and the future of mobility: Evidence, unresolved issues, policy implications, and a research agenda
Development and validation of a supervised machine learning radar Doppler spectra peak finding algorithm
Development and validation of a supervised machine learning radar Doppler spectra peak-finding algorithm
Extraction of Peak Feature Based on Synthetic Sinc Model in SAR images
Accurate peak list extraction from proteomic mass spectra for identification and profiling studies
Plate‐height model of ion mobility‐mass spectrometry: Part 2—Peak‐to‐peak resolution and peak capacity
Plate-height model of ion mobility-mass spectrometry: Part 2—Peak-to-peak resolution and peak capacity
Peak intensity prediction in mass spectra using machine learning methods
peakTree: A framework for structure-preserving radar Doppler spectra analysis
peakTree: a framework for structure-preserving radar Doppler spectra analysis
Implementation of implicit filter for spatial spectra extraction
Peakhood: individual site context extraction for CLIP-seq peak regions
Peak travel, peak car and the future of mobility: Evidence, unresolved issues, policy implications, and a research agenda
Development and validation of a supervised machine learning radar Doppler spectra peak finding algorithm
Development and validation of a supervised machine learning radar Doppler spectra peak-finding algorithm
Extraction of Peak Feature Based on Synthetic Sinc Model in SAR images
Accurate peak list extraction from proteomic mass spectra for identification and profiling studies
Plate‐height model of ion mobility‐mass spectrometry: Part 2—Peak‐to‐peak resolution and peak capacity
Plate-height model of ion mobility-mass spectrometry: Part 2—Peak-to-peak resolution and peak capacity
Peak intensity prediction in mass spectra using machine learning methods
peakTree: A framework for structure-preserving radar Doppler spectra analysis
peakTree: a framework for structure-preserving radar Doppler spectra analysis
Implementation of implicit filter for spatial spectra extraction
Peakhood: individual site context extraction for CLIP-seq peak regions
Peak travel, peak car and the future of mobility: Evidence, unresolved issues, policy implications, and a research agenda
Development and validation of a supervised machine learning radar Doppler spectra peak finding algorithm
Development and validation of a supervised machine learning radar Doppler spectra peak-finding algorithm