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Alma Andersson

Showing results (1-10 of 19) with videos related to

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Bioinformatics (Oxford, England)|March 11, 2021
sepal: identifying transcript profiles with spatial patterns by diffusion-based modelingAlma Andersson, Joakim Lundeberg
Nature Methods|March 4, 2024
Spatial landmark detection and tissue registration with deep learningMarkus Ekvall, Ludvig Bergenstråhle, Alma Andersson, et al.
Plos Computational Biology|October 7, 2022
Markov state modelling reveals heterogeneous drug-inhibition mechanism of CalmodulinAnnie M Westerlund, Akshay Sridhar, Leo Dahl, et al.
Communications Biology|October 10, 2020
Single-cell and spatial transcriptomics enables probabilistic inference of cell type topographyAlma Andersson, Joseph Bergenstråhle, Michaela Asp, et al.
Nature Biomedical Engineering|June 24, 2020
Integrating spatial gene expression and breast tumour morphology via deep learningBryan He, Ludvig Bergenstråhle, Linnea Stenbeck, et al.
Cell Metabolism|November 3, 2021
Spatial mapping reveals human adipocyte subpopulations with distinct sensitivities to insulinJesper Bäckdahl, Lovisa Franzén, Lucas Massier, et al.
Cell Metabolism|August 11, 2021
Spatial mapping reveals human adipocyte subpopulations with distinct sensitivities to insulinJesper Bäckdahl, Lovisa Franzén, Lucas Massier, et al.
Nature Communications|December 3, 2021
Spatial Transcriptomics to define transcriptional patterns of zonation and structural components in the mouse liverFranziska Hildebrandt, Alma Andersson, Sami Saarenpää, et al.
Nature Communications|October 15, 2021
Spatial deconvolution of HER2-positive breast cancer delineates tumor-associated cell type interactionsAlma Andersson, Ludvig Larsson, Linnea Stenbeck, et al.
Nature Biotechnology|November 30, 2021
Super-resolved spatial transcriptomics by deep data fusionLudvig Bergenstråhle, Bryan He, Joseph Bergenstråhle, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Bioinformatics (Oxford, England)|March 11, 2021
sepal: identifying transcript profiles with spatial patterns by diffusion-based modelingAlma Andersson, Joakim Lundeberg
Nature Methods|March 4, 2024
Spatial landmark detection and tissue registration with deep learningMarkus Ekvall, Ludvig Bergenstråhle, Alma Andersson, et al.
Plos Computational Biology|October 7, 2022
Markov state modelling reveals heterogeneous drug-inhibition mechanism of CalmodulinAnnie M Westerlund, Akshay Sridhar, Leo Dahl, et al.
Communications Biology|October 10, 2020
Single-cell and spatial transcriptomics enables probabilistic inference of cell type topographyAlma Andersson, Joseph Bergenstråhle, Michaela Asp, et al.
Nature Biomedical Engineering|June 24, 2020
Integrating spatial gene expression and breast tumour morphology via deep learningBryan He, Ludvig Bergenstråhle, Linnea Stenbeck, et al.
Cell Metabolism|November 3, 2021
Spatial mapping reveals human adipocyte subpopulations with distinct sensitivities to insulinJesper Bäckdahl, Lovisa Franzén, Lucas Massier, et al.
Cell Metabolism|August 11, 2021
Spatial mapping reveals human adipocyte subpopulations with distinct sensitivities to insulinJesper Bäckdahl, Lovisa Franzén, Lucas Massier, et al.
Nature Communications|December 3, 2021
Spatial Transcriptomics to define transcriptional patterns of zonation and structural components in the mouse liverFranziska Hildebrandt, Alma Andersson, Sami Saarenpää, et al.
Nature Communications|October 15, 2021
Spatial deconvolution of HER2-positive breast cancer delineates tumor-associated cell type interactionsAlma Andersson, Ludvig Larsson, Linnea Stenbeck, et al.
Nature Biotechnology|November 30, 2021
Super-resolved spatial transcriptomics by deep data fusionLudvig Bergenstråhle, Bryan He, Joseph Bergenstråhle, et al.
Pageof 2