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Theodore Alexandrov

Showing results (21-30 of 118) with videos related to

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Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|August 18, 2018
Two-Exponential Models of Gene Expression Patterns for Noisy Experimental DataTheodore Alexandrov, Nina Golyandina, David Holloway, et al.
Molecular Systems Biology|October 6, 2020
DeepCycle reconstructs a cyclic cell cycle trajectory from unsegmented cell images using convolutional neural networksLuca Rappez, Alexander Rakhlin, Angelos Rigopoulos, et al.
Bioinformatics (Oxford, England)|February 13, 2020
ColocML: machine learning quantifies co-localization between mass spectrometry imagesKatja Ovchinnikova, Lachlan Stuart, Alexander Rakhlin, et al.
Bioinformatics Advances|June 12, 2025
Enrichment analysis for spatial and single-cell metabolomics accounting for molecular ambiguityBishoy Wadie, Martijn R Molenaar, Lucas M Vieira, et al.
Journal of the American Society for Mass Spectrometry|April 10, 2013
Data-independent microbial metabolomics with ambient ionization mass spectrometryChristopher M Rath, Jane Y Yang, Theodore Alexandrov, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|December 25, 2019
PySpacell: A Python Package for Spatial Analysis of Cell ImagesFrance Rose, Luca Rappez, Sergio H Triana, et al.
Analytical Chemistry|November 5, 2013
Analysis and interpretation of imaging mass spectrometry data by clustering mass-to-charge images according to their spatial similarityTheodore Alexandrov, Ilya Chernyavsky, Michael Becker, et al.
Journal of the American Society for Mass Spectrometry|July 8, 2022
Controlled Humidity Levels for Fine Spatial Detail Information in Enzyme-Assisted <i>N</i>-Glycan MALDI MSIDušan Veličković, Kumar Sharma, Theodore Alexandrov, et al.
Journal of Cancer Research and Clinical Oncology|September 8, 2012
MALDI-imaging segmentation is a powerful tool for spatial functional proteomic analysis of human larynx carcinomaTheodore Alexandrov, Michael Becker, Orlando Guntinas-Lichius, et al.
Journal of Integrative Bioinformatics|March 22, 2012
On the importance of mathematical methods for analysis of MALDI-imaging mass spectrometry dataDennis Trede, Jan Hendrik Kobarg, Janina Oetjen, et al.
Pageof 12

Showing results (21-30 of 118) with videos related to

Sort By:
Pageof 12
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|August 18, 2018
Two-Exponential Models of Gene Expression Patterns for Noisy Experimental DataTheodore Alexandrov, Nina Golyandina, David Holloway, et al.
Molecular Systems Biology|October 6, 2020
DeepCycle reconstructs a cyclic cell cycle trajectory from unsegmented cell images using convolutional neural networksLuca Rappez, Alexander Rakhlin, Angelos Rigopoulos, et al.
Bioinformatics (Oxford, England)|February 13, 2020
ColocML: machine learning quantifies co-localization between mass spectrometry imagesKatja Ovchinnikova, Lachlan Stuart, Alexander Rakhlin, et al.
Bioinformatics Advances|June 12, 2025
Enrichment analysis for spatial and single-cell metabolomics accounting for molecular ambiguityBishoy Wadie, Martijn R Molenaar, Lucas M Vieira, et al.
Journal of the American Society for Mass Spectrometry|April 10, 2013
Data-independent microbial metabolomics with ambient ionization mass spectrometryChristopher M Rath, Jane Y Yang, Theodore Alexandrov, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|December 25, 2019
PySpacell: A Python Package for Spatial Analysis of Cell ImagesFrance Rose, Luca Rappez, Sergio H Triana, et al.
Analytical Chemistry|November 5, 2013
Analysis and interpretation of imaging mass spectrometry data by clustering mass-to-charge images according to their spatial similarityTheodore Alexandrov, Ilya Chernyavsky, Michael Becker, et al.
Journal of the American Society for Mass Spectrometry|July 8, 2022
Controlled Humidity Levels for Fine Spatial Detail Information in Enzyme-Assisted <i>N</i>-Glycan MALDI MSIDušan Veličković, Kumar Sharma, Theodore Alexandrov, et al.
Journal of Cancer Research and Clinical Oncology|September 8, 2012
MALDI-imaging segmentation is a powerful tool for spatial functional proteomic analysis of human larynx carcinomaTheodore Alexandrov, Michael Becker, Orlando Guntinas-Lichius, et al.
Journal of Integrative Bioinformatics|March 22, 2012
On the importance of mathematical methods for analysis of MALDI-imaging mass spectrometry dataDennis Trede, Jan Hendrik Kobarg, Janina Oetjen, et al.
Pageof 12