Buettner, Florian

Diffusion pseudotime robustly reconstructs lineage branching

Haghverdi, L., Büttner, M., Wolf, F. A., Buettner, F., & Theis, F. J. (2016) · Nature Methods

Single-cell and spatial transcriptomicsGene Regulatory Network Analysis

Cited by 1,385

Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells

Buettner, F., Natarajan, K. N., Casale, F. P., Proserpio, V., Scialdone, A., Theis, F. J., Teichmann, S. A., Marioni, J. C., & Stegle, O. (2015) · Nature Biotechnology

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 1,136

Diffusion maps for high-dimensional single-cell analysis of differentiation data

Haghverdi, L., Buettner, F., & Theis, F. J. (2015) · Bioinformatics

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 649

destiny : diffusion maps for large-scale single-cell data in R

Angerer, P., Haghverdi, L., Büttner, M., Theis, F. J., Marr, C., & Buettner, F. (2016) · Bioinformatics

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 640

Combined Single-Cell Functional and Gene Expression Analysis Resolves Heterogeneity within Stem Cell Populations

Wilson, N. K., Kent, D. G., Buettner, F., Shehata, M., Macaulay, I. C., Calero-Nieto, F. J., Sánchez Castillo, M., Oedekoven, C. A., Diamanti, E., Schulte, R., et al. (2015) · Cell Stem Cell

Hematopoietic Stem Cell TransplantationSingle-cell and spatial transcriptomics

Cited by 466

Vitamin A-Retinoic Acid Signaling Regulates Hematopoietic Stem Cell Dormancy

Cabezas-Wallscheid, N., Buettner, F., Sommerkamp, P., Klimmeck, D., Ladel, L., Thalheimer, F. B., Pastor-Flores, D., Roma, L. P., Renders, S., Zeisberger, P., et al. (2017) · Cell

Hematopoietic Stem Cell TransplantationRetinoids in leukemia and cellular processes

Cited by 454

Decoding the regulatory network of early blood development from single-cell gene expression measurements

Moignard, V., Woodhouse, S., Haghverdi, L., Lilly, A. J., Tanaka, Y., Wilkinson, A. C., Buettner, F., Macaulay, I. C., Jawaid, W., Diamanti, E., et al. (2015) · Nature Biotechnology

Gene Regulatory Network AnalysisSingle-cell and spatial transcriptomics

Cited by 380

Inflammatory fibroblasts mediate resistance to neoadjuvant therapy in rectal cancer

Nicolas, A. M., Pesic, M., Engel, E., Ziegler, P. K., Diefenhardt, M., Kennel, K. B., Buettner, F., Conche, C., Petrocelli, V., Elwakeel, E., et al. (2022) · Cancer Cell

Cancer Cells and MetastasisPancreatic and Hepatic Oncology Research

Cited by 349

Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression

Cuomo, A. S. E., Seaton, D. D., McCarthy, D. J., Martinez, I., Bonder, M. J., Garcia-Bernardo, J., Amatya, S., Madrigal, P., Isaacson, A., Buettner, F., et al. (2020) · Nature Communications

Pluripotent Stem Cells ResearchSingle-cell and spatial transcriptomics

Cited by 331

Inflammatory exposure drives long-lived impairment of hematopoietic stem cell self-renewal activity and accelerated aging

Bogeska, R., Mikecin, A.-M., Kaschutnig, P., Fawaz, M., Büchler-Schäff, M., Le, D., Ganuza, M., Vollmer, A., Paffenholz, S. V., Asada, N., et al. (2022) · Cell Stem Cell

Hematopoietic Stem Cell TransplantationMesenchymal stem cell research

Cited by 299

Understanding metric-related pitfalls in image analysis validation

Reinke, A., Tizabi, M. D., Baumgartner, M., Eisenmann, M., Heckmann-Nötzel, D., Kavur, A. E., Rädsch, T., Sudre, C. H., Acion, L., Antonelli, M., et al. (2024) · Nature Methods

Cell Image Analysis TechniquesMedical Image Segmentation Techniques

Cited by 241

Metrics reloaded: Recommendations for image analysis validation

Maier-Hein, L., Reinke, A., Godau, P., Tizabi, M. D., Buettner, F., Christodoulou, E., Glocker, B., Isensee, F., Kleesiek, J., Kozubek, M., et al. (2022) · arXiv

Cell Image Analysis TechniquesMedical Image Segmentation Techniques

Cited by 59

Probabilistic PCA of censored data: accounting for uncertainties in the visualization of high-throughput single-cell qPCR data

Buettner, F., Moignard, V., Göttgens, B., & Theis, F. J. (2014) · Bioinformatics

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 21

cgCorrect: a method to correct for confounding cell–cell variation due to cell growth in single-cell transcriptomics

Blasi, T., Buettner, F., Strasser, M. K., Marr, C., & Theis, F. J. (2017) · Physical Biology

Single-cell and spatial transcriptomicsGene Regulatory Network Analysis

Cited by 18