Author

D. Novak

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Immunology· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:trajectory inference· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Assay:flow cytometry· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

D. Kuzilkova· 2 shared J. Stuchly· 2 shared T. Kalina· 2 shared A. E. Sousa· 1 shared A. Iksi· 1 shared A. R. M. Almeida· 1 shared G. A. Saad· 1 shared H. Glier· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersImmunology

D. Kuzilkova

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Author profile →

2 papers

Recent·Most cited

Tviblindi algorithm identifies branching developmental trajectories of human B cell development

M. Bakardjieva, J. Stuchly, O. Pelak, M. Wentink, H. Glier, D. Novak, J. Stancikova, D. Kuzilkova, I. Janowska, M. Rizzi, M. v. d. Burg, T. Kalina

The paper develops and validates the tviblindi algorithm to identify branching developmental trajectories in human B cell development using mass cytometry data.

bioRxiv · Jan 11, 2024 · PreprintImmunology

Deconstructing Complexity: A Computational Topology Approach to Trajectory Inference in the Human Thymus with tviblindi

J. Stuchly, D. Novak, N. Brdickova, P. Hadlova, V. Sadilek, A. Iksi, D. Kuzilkova, M. Svaton, G. A. Saad, P. Engel, H. Luche, A. E. Sousa, A. R. M. Almeida, T. Kalina

This paper introduces tviblindi, a trajectory inference tool for thymus development, revealing new insights into T cell maturation and regulatory T cell subpopulations.

bioRxiv · Jul 13, 2023 · PreprintImmunology