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Martin Hjelmare

Showing results (1-10 of 11) with videos related to

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Nature Methods|November 30, 2019
ImJoy: an open-source computational platform for the deep learning eraWei Ouyang, Florian Mueller, Martin Hjelmare, et al.
Journal of Proteomics|February 25, 2012
Systematic validation of antibody binding and protein subcellular localization using siRNA and confocal microscopyCharlotte Stadler, Martin Hjelmare, Beate Neumann, et al.
Journal of Proteome Research|June 17, 2011
Mapping the subcellular protein distribution in three human cell linesLinn Fagerberg, Charlotte Stadler, Marie Skogs, et al.
Journal of Proteome Research|December 12, 2012
RNA deep sequencing as a tool for selection of cell lines for systematic subcellular localization of all human proteinsFrida Danielsson, Mikaela Wiking, Diana Mahdessian, et al.
Journal of Proteome Research|October 12, 2016
Antibody Validation in Bioimaging Applications Based on Endogenous Expression of Tagged ProteinsMarie Skogs, Charlotte Stadler, Rutger Schutten, et al.
Nature Biotechnology|August 21, 2018
Deep learning is combined with massive-scale citizen science to improve large-scale image classificationDevin P Sullivan, Casper F Winsnes, Lovisa Åkesson, et al.
Nature Methods|August 8, 2020
Author Correction: Analysis of the Human Protein Atlas Image Classification competitionWei Ouyang, Casper F Winsnes, Martin Hjelmare, et al.
Nature Methods|December 12, 2019
Publisher Correction: Analysis of the Human Protein Atlas Image Classification competitionWei Ouyang, Casper F Winsnes, Martin Hjelmare, et al.
Nature Methods|November 30, 2019
Analysis of the Human Protein Atlas Image Classification competitionWei Ouyang, Casper F Winsnes, Martin Hjelmare, et al.
Nature Methods|January 24, 2020
Publisher Correction: Analysis of the Human Protein Atlas Image Classification competitionWei Ouyang, Casper F Winsnes, Martin Hjelmare, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Nature Methods|November 30, 2019
ImJoy: an open-source computational platform for the deep learning eraWei Ouyang, Florian Mueller, Martin Hjelmare, et al.
Journal of Proteomics|February 25, 2012
Systematic validation of antibody binding and protein subcellular localization using siRNA and confocal microscopyCharlotte Stadler, Martin Hjelmare, Beate Neumann, et al.
Journal of Proteome Research|June 17, 2011
Mapping the subcellular protein distribution in three human cell linesLinn Fagerberg, Charlotte Stadler, Marie Skogs, et al.
Journal of Proteome Research|December 12, 2012
RNA deep sequencing as a tool for selection of cell lines for systematic subcellular localization of all human proteinsFrida Danielsson, Mikaela Wiking, Diana Mahdessian, et al.
Journal of Proteome Research|October 12, 2016
Antibody Validation in Bioimaging Applications Based on Endogenous Expression of Tagged ProteinsMarie Skogs, Charlotte Stadler, Rutger Schutten, et al.
Nature Biotechnology|August 21, 2018
Deep learning is combined with massive-scale citizen science to improve large-scale image classificationDevin P Sullivan, Casper F Winsnes, Lovisa Åkesson, et al.
Nature Methods|August 8, 2020
Author Correction: Analysis of the Human Protein Atlas Image Classification competitionWei Ouyang, Casper F Winsnes, Martin Hjelmare, et al.
Nature Methods|December 12, 2019
Publisher Correction: Analysis of the Human Protein Atlas Image Classification competitionWei Ouyang, Casper F Winsnes, Martin Hjelmare, et al.
Nature Methods|November 30, 2019
Analysis of the Human Protein Atlas Image Classification competitionWei Ouyang, Casper F Winsnes, Martin Hjelmare, et al.
Nature Methods|January 24, 2020
Publisher Correction: Analysis of the Human Protein Atlas Image Classification competitionWei Ouyang, Casper F Winsnes, Martin Hjelmare, et al.
Pageof 2