Saez-Rodriguez Group

1. The tissue proteome in the multi-omic landscape of kidney disease

Rinschen Nature Rev Nephrology, 2020

2. Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data

Tanevski J Life Science Alliance, 2020

3. Only Hyperuricemia with Crystalluria, but not Asymptomatic Hyperuricemia, Drives Progression of Chronic Kidney Disease

Sellmayr J Am Soc Nephrol, 2020

4. Big Data Approaches in Heart Failure Research

Lanzer Current Heart Failure Reports, 2020

5. Increased CXCL4 expression in hematopoietic cells links inflammation and progression of bone marrow fibrosis in MPN

Gleitz H Blood, 2020

6. Community Assessment of the predictability of cancer protein and phosphoprotein levels from genomics and transcriptomics

Yang M Cell Systems, 2020

7. The Minimum Information about a Molecular Interaction Causal Statement (MI2CAST)

Touré V Bioinformatics, 2020

8. Converting networks to predictive logic models from perturbation signalling data with CellNOpt

Gjerga E Bioinformatics, 2020

9. Stratification and prediction of drug synergy based on target functional similarity

Yang M npj Systems Biology and Applications, 2020

10. CELLector: Genomics Guided Selection of Cancer in vitro Models

Najgebauer H Cell Systems, 2020

11. Setting the basis of best practices and standards for curation and annotation of logical models in biology—highlights of the [BC]2 2019 CoLoMoTo/SysMod Workshop

Niarakis A Briefings in Bioinformatics, 2020

12. Patient‐specific logic models of signaling pathways from screenings on cancer biopsies to prioritize personalized combination therapies

Eduati F Molecular systems biology, 2020

13. Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data

Holland CH Genome Biology, 2020

14. Dysregulated mesenchymal PDGFR-β drives kidney fibrosis

Buhl E EMBO Mol Med, 2020

15. Personalized signaling models for personalized treatments

Saez‐Rodriguez J Mol Syst Biol, 2020

16. Quantitative Systems Toxicology Modeling To Address Key Safety Questions in Drug Development: A Focus of the TransQST Consortium

Ferreira S Chem Res Toxicol, 2020

17. Bringing data from curated pathway resources to Cytoscape with OmniPath

Ceccarelli F Bioinformatics, 2019

18. Kinetic modelling of quantitative proteome data predicts metabolic reprogramming of liver cancer

Berndt N British Journal of Cancer , 2019

19. Metabolic rewiring of the hypertensive kidney

Rinschen M Science Signaling, 2019

20. Influence of Liver Fibrosis on Lobular Zonation

Ghallab A MDPI cells, 2019

21. A Functional Landscape of CKD Entities From Public Transcriptomic Data

Tajti F Kidney International Reports, 2019

22. From expression footprints to causal pathways: contextualizing large signaling networks with CARNIVAL

Liu A npj Systems Biology and Applications, 2019

23. Modeling Cell-Cell Interactions from Spatial Molecular Data with Spatial Variance Component Analysis

Arnol D Cell reports, 2019

24. Signatures of cell death and proliferation in perturbation transcriptomics data—from confounding factor to effective prediction

Szalai B Nucleic Acids Research, 2019

25. Transfer of regulatory knowledge from human to mouse for functional genomic analysis.

Holland CH Biochim Biophys Acta Gene Regul Mech, 2019