Author

Justin Lakkis

University of PennsylvaniaORCID 0000-0002-9487-9786Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

David Wang· 1 shared Gang HuiD· 1 shared Huize PaniD· 1 shared Kui Wang· 1 shared Lyle UngariD· 1 shared Mingyao LiiD· 1 shared Muredach P. ReillyiD· 1 shared Xiangjie LiiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

David Wang

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1 paper

Recent·Most cited

A Joint Deep Learning Model for Simultaneous Batch Effect Correction, Denoising and Clustering in Single-Cell Transcriptomics

Justin Lakkis, David Wang, Yuanchao Zhang, Gang Hu, Kui Wang, Huize Pan, Lyle Ungar, Muredach P. Reilly, Xiangjie Li, Mingyao Li

This paper introduces CarDEC, a deep learning model that simultaneously corrects batch effects, denoises, and clusters scRNA-seq data, outperforming existing methods in multiple evaluations.

Genome Research · Oct 1, 2021Peer-reviewedBioinformatics