Author

Patience Mukashyaka

The Jackson Laboratory for Genomic MedicineORCID 0000-0002-3686-7066Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:deconvolution· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Jeffrey H. ChuangiD· 2 shared Ali Foroughi pouriD· 1 shared David J. MellertiD· 1 shared Edison T. LiuiD· 1 shared Elise T. CourtoisiD· 1 shared Javad NoorbakhshiD· 1 shared Mattia BrugioloiD· 1 shared Olga AnczukówiD· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 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

2 shared papersBioinformatics

Jeffrey H. ChuangORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Cellos: High-throughput deconvolution of 3D organoid dynamics at cellular resolution for cancer pharmacology

Patience Mukashyaka, Pooja Kumar, David J. Mellert, Shadae Nicholas, Javad Noorbakhsh, Mattia Brugiolo, Elise T. Courtois, Olga Anczuków, Edison T. Liu, Jeffrey H. Chuang

Cellos is a high-throughput image analysis pipeline for 3D organoid segmentation and analysis, enabling accurate quantification of drug responses and cell interactions in cancer organoids.

Nature Communications · Dec 18, 2023Peer-reviewedBioinformatics

SAMPLER: Empirical distribution representations for rapid analysis of whole slide tissue images

Patience Mukashyaka, Todd Sheridan, Ali Foroughi pour, Jeffrey H. Chuang

SAMPLER provides a statistical method to generate efficient whole slide image representations, achieving comparable or better accuracy than attention models while being significantly faster.

bioRxiv · Aug 1, 2023 · PreprintBioinformatics