Author

Antonio De Falco

BiogemORCID 0000-0003-2396-3101Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:clustering· 2 Assay:scRNA-seq· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

Michele CeccarelliiD· 3 shared Alessia CovreiD· 2 shared Francesca Pia CarusoiD· 2 shared Michele MaioiD· 2 shared Piera GrisoliaiD· 2 shared Alessia Maria CossuiD· 1 shared Alexander M. LesokhiniD· 1 shared Alfonso FiorelliiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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3 shared papersGenomics

Michele CeccarelliORCID

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3 papers

Recent·Most cited

GenomicsScience AdvancesPeer-reviewedAug 7, 2026

Transposable Elements and Homotypic Niches Drive Immune Dynamics and Resistance in Melanoma Epigenetic-based immunotherapy

Erika Ciervo, Francesco Ceccarelli, Anna Maria Di Giacomo…·Michele Ceccarelli

This study identifies how epigenetic changes and spatial clustering influence immune dynamics and therapy resistance in melanoma through single-cell and spatial transcriptomics analyses.

DOI 10.1126/sciadv.aed1318

humanscRNA-seq

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Cancer BiologybioRxivPreprintOct 20, 2025

Knowledge-informed multimodal cfDNA analysis improves sensitivity and generalization in cancer detection

Antonio De Falco, Piera Grisolia, Raffaella Giuffrida…·Michele Ceccarelli

Fate-AI improves cancer detection sensitivity and generalization by integrating fragmentomic and methylation features from cfDNA sequencing.

3 citations

humanwhole-genome sequencing

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BioinformaticsbioRxivPreprintNov 20, 2021

A fast variational algorithm to detect the clonal copy number substructure of tumors from single-cell data

Antonio De Falco, Francesca Pia Caruso, Xiaodong Su…·Michele Ceccarelli

SCEVAN is a fast variational algorithm that deconvolves clonal substructure in tumors from single-cell data, accurately distinguishing malignant and non-malignant cells.

5 citations

humanscRNA-seq

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