Author

Fabrícia Ferreira do Nascimento

Imperial College LondonORCID 0000-0001-9426-6835Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Aris KatzourakisiD· 1 shared Audrey T. LiniD· 1 shared Cindy G. SantanderiD· 1 shared Emanuele MarchiiD· 1 shared Erik VolziD· 1 shared Gkikas MagiorkinisiD· 1 shared Kieran O. DrakeiD· 1 shared on behalf of the PANGEA Consortium· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Aris KatzourakisORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Evolutionary BiologyJournal of The Royal Society InterfacePeer-reviewedSep 9, 2026

Untangling the effects of within-host and between-host natural selection in viruses with applications to evolution of HIV-1 co-receptor usage

Kieran O. Drake, Vinícius Bonetti Franceschi, Fabrícia Ferreira do Nascimento…·on behalf of the PANGEA Consortium

This paper develops a method to estimate multi-level selection coefficients for pathogens, applying it to HIV-1 co-receptor usage and finding a strong trade-off between within-host and between-host fitness.

DOI 10.1098/rsif.2025.1012

humanDNA methylation

𝕏 PostBluesky

BioinformaticsbioRxivPreprintOct 25, 2018

HERV-K HML-2 transcription in diverse cancers is related with cancer stem cell and epithelial-mesenchymal transition markers

Audrey T. Lin, Cindy G. Santander, Fabrícia Ferreira do Nascimento…·Gkikas Magiorkinis

The paper identifies HERV-K (HML-2) genes np9 and rec as correlated with cancer stem cell and EMT biomarkers, suggesting their role in cancer malignancy and cell state transitions.

1 citation

humanbulk RNA-seq

𝕏 PostBluesky