Author

P. F. Ferreira

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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Cancer Biology· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Assay:scRNA-seq· 2 Research Focus:variant calling· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1

Frequent Co-Authors

N. Beerenwinkel· 3 shared J. Kuipers· 2 shared A. Dondi· 1 shared B. J. Haas· 1 shared F. Jacob· 1 shared K. Jahn· 1 shared M. A. Tuncel· 1 shared N. Borgsmüller· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersCancer Biology

N. Beerenwinkel

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Author profile →

3 papers

Recent·Most cited

De novo detection of somatic variants in high-quality long-read single-cell RNA sequencing data

A. Dondi, N. Borgsmüller, P. F. Ferreira, B. J. Haas, F. Jacob, V. Heinzelmann-Schwarz, Tumor Profiler Consortium, N. Beerenwinkel

LongSom detects somatic variants in LR scRNA-seq data without normal samples, revealing clonal heterogeneity in ovarian cancer.

bioRxiv · Mar 6, 2024Cancer Biology

Mapping single-cell transcriptomes to copy number evolutionary trees

P. F. Ferreira, J. Kuipers, N. Beerenwinkel

SCATrEx maps single-cell transcriptomes to copy number evolutionary trees, revealing clone-specific gene expression heterogeneity in tumors.

bioRxiv · Nov 4, 2021 · PreprintCancer Biology

Single-cell copy number calling and event history reconstruction

J. Kuipers, M. A. Tuncel, P. F. Ferreira, K. Jahn, N. Beerenwinkel

This paper develops SCICoNE, a statistical model for single-cell copy number analysis from low-depth sequencing data, showing its accuracy on simulated data and application to breast cancer samples.

bioRxiv · Apr 28, 2020Cancer Biology