Author

Joao Felipe Rocha

Yale Univeristy;

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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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

César Miguel Valdez Córdova· 1 shared Guy Wolf· 1 shared Jean-Christophe GrenieriD· 1 shared Julie HussiniD· 1 shared Kevin R MooniD· 1 shared Matthew Crispin SciclunaiD· 1 shared Mohamed Elyes Kanoun· 1 shared Raphaël Poujol· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

César Miguel Valdez Córdova

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1 paper

Recent·Most cited

PHATE-Derived Ancestry Coordinates Capture Continuous Population Structure in Human Genomic Data

Matthew Crispin Scicluna, Shuang Ni, César Miguel Valdez Córdova, Jean-Christophe Grenier, Raphaël Poujol, Mohamed Elyes Kanoun, Joao Felipe Rocha, Kevin R Moon, Sébastien Lemieux, Guy Wolf, Smita Krishnaswamy, Julie Hussin

This paper shows PHATE can better capture continuous population structure in genomic data than PCA or UMAP by tuning scale and balancing populations.

bioRxiv · Nov 3, 2026 · PreprintBioinformatics