Author

Johan Vallon-Christersson

ORCID 0000-0002-2195-0385Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Jari HäkkineniD· 2 shared Åke BorgiD· 1 shared Anna EhingeriD· 1 shared Fredrik SalméniD· 1 shared Joakim LundebergiD· 1 shared Jonas FriséniD· 1 shared Linnea StenbeckiD· 1 shared Ludvig LarssoniD· 1 shared

Activity by Year

2016-2018 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersCancer Biology

Jari HäkkinenORCID

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2 papers

Recent·Most cited

Multidimensional transcriptomics provides detailed information about immune cell distribution and identity in HER2+ breast tumors

Fredrik Salmén, Sanja Vickovic, Ludvig Larsson, Linnea Stenbeck, Johan Vallon-Christersson, Anna Ehinger, Jari Häkkinen, Åke Borg, Jonas Frisén, Patrik L Ståhl, Joakim Lundeberg

This study uses multidimensional transcriptomics to analyze immune cell distribution and identity in HER2+ breast tumors, revealing spatial heterogeneity and interpatient differences in immune infiltration.

bioRxiv · Jun 30, 2018 · PreprintCancer Biology

Implementation of an Open Source Software solution for Laboratory Information Management and automated RNAseq data analysis in a large-scale Cancer Genomics initiative using BASE with extension package Reggie.

Jari Häkkinen, Nicklas Nordborg, Olle Månsson, Johan Vallon-Christersson

The paper describes an open-source system using BASE and Reggie for managing cancer genomics data and automating RNAseq analysis in a clinical setting, achieving efficient processing and short lead-times.

bioRxiv · Apr 12, 2016 · PreprintBioinformatics