Author

S. Prillo

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 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1 Research Focus:phylogenetics / evolution· 1 Assay:protein sequence· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

K. Ouardini· 1 shared M. G. Jones· 1 shared M. I. Jordan· 1 shared N. Yosef· 1 shared P. Boyeau· 1 shared P.-Y. Chen· 1 shared R. Lopez· 1 shared R. Zhang· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

K. Ouardini

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Author profile →

2 papers

Recent·Most cited

CherryML: Scalable Maximum Likelihood Estimation of Phylogenetic Models

S. Prillo, Y. Deng, P. Boyeau, X. Li, P.-Y. Chen, Y. S. Song

CherryML provides a scalable method for maximum likelihood estimation of phylogenetic models, achieving significant speedup in parameter estimation for molecular evolution.

bioRxiv · Dec 21, 2022Evolutionary Biology

Reconstructing unobserved cellular states from paired single-cell lineage tracing and transcriptomics data

K. Ouardini, R. Lopez, M. G. Jones, S. Prillo, R. Zhang, M. I. Jordan, N. Yosef

The paper introduces TreeVAE, a probabilistic framework to reconstruct unobserved ancestral cellular states from single-cell lineage tracing and transcriptomics data, showing improved performance over benchmarks.

bioRxiv · May 28, 2021 · PreprintBioinformatics