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Wiebke Timm

Showing results (1-10 of 8) with videos related to

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Analytical Chemistry|April 30, 2010
Effect of high-accuracy precursor masses on phosphopeptide identification from MS3 spectraWiebke Timm, Nurhan Ozlu, Judith J Steen, et al.
Bioinformatics (Oxford, England)|February 6, 2010
Non-linear classification for on-the-fly fractional mass filtering and targeted precursor fragmentation in mass spectrometry experimentsMarc Kirchner, Wiebke Timm, Peying Fong, et al.
BMC Bioinformatics|October 22, 2008
Peak intensity prediction in MALDI-TOF mass spectrometry: a machine learning study to support quantitative proteomicsWiebke Timm, Alexandra Scherbart, Sebastian Böcker, et al.
Wiley Interdisciplinary Reviews. Systems Biology and Medicine|September 14, 2010
PhosphoproteomicsNurhan Ozlu, Bikem Akten, Wiebke Timm, et al.
Analytical Chemistry|May 12, 2010
Estimating the confidence of peptide identifications without decoy databasesBernhard Y Renard, Wiebke Timm, Marc Kirchner, et al.
Artificial Intelligence in Medicine|May 17, 2005
Evaluation of radiological features for breast tumour classification in clinical screening with machine learning methodsTim W Nattkemper, Bert Arnrich, Oliver Lichte, et al.
The EMBO Journal|December 6, 2014
Quantitative comparison of a human cancer cell surface proteome between interphase and mitosisNurhan Özlü, Mohammad H Qureshi, Yusuke Toyoda, et al.
European Journal of Haematology|July 14, 2020
Major central nervous system complications after allogeneic stem cell transplantation: A large retrospective study on 888 consecutive adult patientsDaniele Mannina, Laura Berneking, Anna Both, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Analytical Chemistry|April 30, 2010
Effect of high-accuracy precursor masses on phosphopeptide identification from MS3 spectraWiebke Timm, Nurhan Ozlu, Judith J Steen, et al.
Bioinformatics (Oxford, England)|February 6, 2010
Non-linear classification for on-the-fly fractional mass filtering and targeted precursor fragmentation in mass spectrometry experimentsMarc Kirchner, Wiebke Timm, Peying Fong, et al.
BMC Bioinformatics|October 22, 2008
Peak intensity prediction in MALDI-TOF mass spectrometry: a machine learning study to support quantitative proteomicsWiebke Timm, Alexandra Scherbart, Sebastian Böcker, et al.
Wiley Interdisciplinary Reviews. Systems Biology and Medicine|September 14, 2010
PhosphoproteomicsNurhan Ozlu, Bikem Akten, Wiebke Timm, et al.
Analytical Chemistry|May 12, 2010
Estimating the confidence of peptide identifications without decoy databasesBernhard Y Renard, Wiebke Timm, Marc Kirchner, et al.
Artificial Intelligence in Medicine|May 17, 2005
Evaluation of radiological features for breast tumour classification in clinical screening with machine learning methodsTim W Nattkemper, Bert Arnrich, Oliver Lichte, et al.
The EMBO Journal|December 6, 2014
Quantitative comparison of a human cancer cell surface proteome between interphase and mitosisNurhan Özlü, Mohammad H Qureshi, Yusuke Toyoda, et al.
European Journal of Haematology|July 14, 2020
Major central nervous system complications after allogeneic stem cell transplantation: A large retrospective study on 888 consecutive adult patientsDaniele Mannina, Laura Berneking, Anna Both, et al.
Pageof 1