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Spatial mapping of cell types by integration of transcriptomics data
View ORCID ProfileAlma Andersson, Joseph Bergenstråhle, Michaela Asp, Ludvig Bergenstråhle, Aleksandra Jurek, José Fernández Navarro, Joakim Lundeberg
doi: https://doi.org/10.1101/2019.12.13.874495
Alma Andersson
Science for Life Laboratory, KTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health, Department of Gene Technology, 171 65 Solna, Sweden
Joseph Bergenstråhle
Science for Life Laboratory, KTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health, Department of Gene Technology, 171 65 Solna, Sweden
Michaela Asp
Science for Life Laboratory, KTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health, Department of Gene Technology, 171 65 Solna, Sweden
Ludvig Bergenstråhle
Science for Life Laboratory, KTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health, Department of Gene Technology, 171 65 Solna, Sweden
Aleksandra Jurek
Science for Life Laboratory, KTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health, Department of Gene Technology, 171 65 Solna, Sweden
José Fernández Navarro
Science for Life Laboratory, KTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health, Department of Gene Technology, 171 65 Solna, Sweden
Joakim Lundeberg
Science for Life Laboratory, KTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health, Department of Gene Technology, 171 65 Solna, Sweden
Posted December 13, 2019.
Spatial mapping of cell types by integration of transcriptomics data
Alma Andersson, Joseph Bergenstråhle, Michaela Asp, Ludvig Bergenstråhle, Aleksandra Jurek, José Fernández Navarro, Joakim Lundeberg
bioRxiv 2019.12.13.874495; doi: https://doi.org/10.1101/2019.12.13.874495
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