Gregor Sturm
Title
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Cited by
Year
Comprehensive evaluation of transcriptome-based cell-type quantification methods for immuno-oncology
G Sturm, F Finotello, F Petitprez, JD Zhang, J Baumbach, WH Fridman, ...
Bioinformatics 35 (14), i436-i445, 2019
1202019
Detect tissue heterogeneity in gene expression data with BioQC
JD Zhang, K Hatje, G Sturm, C Broger, M Ebeling, M Burtin, F Terzi, ...
BMC genomics 18 (1), 1-9, 2017
322017
Scirpy: a Scanpy extension for analyzing single-cell T-cell receptor-sequencing data
G Sturm, T Szabo, G Fotakis, M Haider, D Rieder, Z Trajanoski, F Finotello
Bioinformatics 36 (18), 4817-4818, 2020
102020
CD39 Identifies the CD4+ Tumor-Specific T-cell Population in Human Cancer
KE Kortekaas, SJ Santegoets, G Sturm, I Ehsan, SL van Egmond, ...
Cancer Immunology Research 8 (10), 1311-1321, 2020
82020
Immunedeconv: An R Package for Unified Access to Computational Methods for Estimating Immune Cell Fractions from Bulk RNA-Sequencing Data
G Sturm, F Finotello, M List
Bioinformatics for Cancer Immunotherapy, 223-232, 2020
72020
Inducers of the endothelial cell barrier identified through chemogenomic screening in genome-edited hPSC-endothelial cells
F Roudnicky, JD Zhang, BK Kim, NJ Pandya, Y Lan, L Sach-Peltason, ...
Proceedings of the National Academy of Sciences 117 (33), 19854-19865, 2020
42020
Tissue heterogeneity is prevalent in gene expression studies
G Sturm, M List, JD Zhang
bioRxiv, 2020
2020
In Silico Cell-Type Deconvolution Methods in Cancer Immunotherapy
G Sturm, F Finotello, M List
Bioinformatics for Cancer Immunotherapy, 213-222, 2020
2020
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Articles 1–8