Heyn, Holger

Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation

Malta, T. M., Sokolov, A., Gentles, A. J., Burzykowski, T., Poisson, L., Weinstein, J. N., Kamińska, B., Huelsken, J., Omberg, L., Gevaert, O., et al. (2018) · Cell

Cancer Cells and MetastasisPluripotent Stem Cells Research

Cited by 2,180

A Landscape of Pharmacogenomic Interactions in Cancer

Iorio, F., Knijnenburg, T. A., Vis, D. J., Bignell, G. R., Menden, M. P., Schubert, M., Aben, N., Gonçalves, E., Barthorpe, S., Lightfoot, H., et al. (2016) · Cell

Cancer Genomics and DiagnosticsChromatin Remodeling and Cancer

Cited by 2,090

Global epigenomic reconfiguration during mammalian brain development

Lister, R., Mukamel, E. A., Nery, J. R., Urich, M., Puddifoot, C. A., Johnson, N. D., Lucero, J., Huang, Y., Dwork, A. J., Schultz, M. D., et al. (2013) · Science

Epigenetics and DNA MethylationGenetic Syndromes and Imprinting

Cited by 1,830

Comparative Analysis of Single-Cell RNA Sequencing Methods

Ziegenhain, C., Vieth, B., Parekh, S., Reinius, B., Guillaumet-Adkins, A., Smets, M., Leonhardt, H., Heyn, H., Hellmann, I., & Enard, W. (2017) · Molecular Cell

Single-cell and spatial transcriptomicsGenomics and Phylogenetic Studies

Cited by 1,494

Validation of a DNA methylation microarray for 450,000 CpG sites in the human genome

Sandoval, J., Heyn, H., Moran, S., Serra-Musach, J., Pujana, M. A., Bibikova, M., & Esteller, M. (2011) · Epigenetics

Epigenetics and DNA MethylationGenomics and Chromatin Dynamics

Cited by 990

Distinct DNA methylomes of newborns and centenarians

Heyn, H., Li, N., Ferreira, H. J., Moran, S., Pisano, D. G., Gomez, A., Diez, J., Sanchez-Mut, J. V., Setien, F., Carmona, F. J., et al. (2012) · Proceedings of the National Academy of Sciences

Epigenetics and DNA MethylationGenomics and Chromatin Dynamics

Cited by 802

SPOTlight: seeded NMF regression to deconvolute spatial transcriptomics spots with single-cell transcriptomes

Elosua-Bayes, M., Nieto, P., Mereu, E., Gut, I., & Heyn, H. (2021) · Nucleic Acids Research

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 732

Benchmarking single-cell RNA-sequencing protocols for cell atlas projects

Mereu, E., Lafzi, A., Moutinho, C., Ziegenhain, C., McCarthy, D. J., Álvarez-Varela, A., Batlle, E., Sagar, Grün, D., Lau, J. K., et al. (2020) · Nature Biotechnology

Single-cell and spatial transcriptomicsGenomics and Phylogenetic Studies

Cited by 499

The emerging landscape of spatial profiling technologies

Moffitt, J. R., Lundberg, E., & Heyn, H. (2022) · Nature Reviews Genetics

Single-cell and spatial transcriptomicsGenomics and Chromatin Dynamics

Cited by 419

DNA methylation contributes to natural human variation

Heyn, H., Moran, S., Hernando-Herraez, I., Sayols, S., Gomez, A., Sandoval, J., Monk, D., Hata, K., Marques-Bonet, T., Wang, L., et al. (2013) · Genome Research

Epigenetics and DNA MethylationGenetic Associations and Epidemiology

Cited by 408

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

Holland, C. H., Tanevski, J., Perales-Patón, J., Gleixner, J., Kumar, M. P., Mereu, E., Joughin, B. A., Stegle, O., Lauffenburger, D. A., Heyn, H., et al. (2020) · Genome Biology

Single-cell and spatial transcriptomicsBioinformatics and Genomic Networks

Cited by 323

Metastatic recurrence in colorectal cancer arises from residual EMP1+ cells

Cañellas-Socias, A., Cortina, C., Hernando-Momblona, X., Palomo-Ponce, S., Mulholland, E. J., Turon, G., Mateo, L., Conti, S., Roman, O., Sevillano, M., et al. (2022) · Nature

Cancer Cells and MetastasisColorectal Cancer Treatments and Studies

Cited by 256

Single-cell transcriptomics unveils gene regulatory network plasticity

Iacono, G., Massoni-Badosa, R., & Heyn, H. (2019) · Genome Biology

Single-cell and spatial transcriptomicsGene Regulatory Network Analysis

Cited by 218

Tutorial: guidelines for the experimental design of single-cell RNA sequencing studies

Lafzi, A., Moutinho, C., Picelli, S., & Heyn, H. (2018) · Nature Protocols

Single-cell and spatial transcriptomicsGenomics and Phylogenetic Studies

Cited by 218

Modeling Human TBX5 Haploinsufficiency Predicts Regulatory Networks for Congenital Heart Disease

Kathiriya, I. S., Rao, K. S., Iacono, G., Devine, W. P., Blair, A. P., Hota, S. K., Lai, M. H., Garay, B. I., Thomas, R., Gong, H. Z., et al. (2021) · Developmental Cell

Congenital heart defects researchPluripotent Stem Cells Research

Cited by 116

bigSCale: an analytical framework for big-scale single-cell data

Iacono, G., Mereu, E., Guillaumet-Adkins, A., Corominas, R., Cuscó, I., Rodríguez-Esteban, G., Gut, M., Pérez-Jurado, L. A., Gut, I., & Heyn, H. (2018) · Genome Research

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 79

STAMP: Single-cell transcriptomics analysis and multimodal profiling through imaging

Pitino, E., Pascual-Reguant, A., Segato-Dezem, F., Wise, K., Salvador-Martinez, I., Crowell, H. L., Marção, M., Ruiz, M., Courtois, E., Flynn, W. F., et al. (2025) · Cell

Single-cell and spatial transcriptomicsCell Image Analysis Techniques

Cited by 28