Author

Giacomo Cavalca

University of BolognaORCID 0000-0003-3622-3516Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Organism:human· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Anjing LiuiD· 1 shared Chirag M. LakhaniiD· 1 shared David A. KnowlesiD· 1 shared Gao T. WangiD· 1 shared Philip L. De JageriD· 1 shared Rohan Nidumbur· 1 shared Ru FengiD· 1 shared Towfique RajiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 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 paperGenetic & Genomic Medicine

Anjing LiuORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintDec 4, 2025

Machine Learning-Based Prediction of Cell-type Resolved Brain eQTLs Enhances Discovery of Variants Explaining Alzheimer's Disease Heritability

Chirag M. Lakhani, Giacomo Cavalca, Anjing Liu…·David A. Knowles

The paper develops scEEMS models to predict cell-type-specific eQTLs, enhancing discovery of AD risk variants by linking them to cell-type-specific genes.

DOI 10.64898/2025.12.03.25341562

humanbulk RNA-seq

𝕏 PostBluesky